In [1]:
words = [
    "aardvark",
    "abacus",
    "abbey",
    "abdomen",
    "ability",
    "abolishment",
    "abroad",
    "abuse",
    "accelerant",
    "accelerator",
    "access",
    "accident",
    "accommodation",
    "accompanist",
    "accordion",
    "account",
    "accountant",
    "achiever",
    "acid",
    "acknowledgment",
    "acoustic",
    "acoustics",
    "acrylic",
    "act",
    "action",
    "activity",
    "actor",
    "actress",
    "acupuncture",
    "ad",
    "adapter",
    "addiction",
    "addition",
    "address",
    "adjustment",
    "administration",
    "adrenalin",
    "adult",
    "adulthood",
    "advance",
    "advancement",
    "advantage",
    "advertisement",
    "advertising",
    "advice",
    "affair",
    "affect",
    "aftermath",
    "afternoon",
    "aftershave",
    "aftershock",
    "afterthought",
    "age",
    "agency",
    "agenda",
    "agent",
    "aggression",
    "aglet",
    "agreement",
    "aid",
    "air",
    "airbag",
    "airbus",
    "airfare",
    "airforce",
    "airline",
    "airmail",
    "airplane",
    "airport",
    "airship",
    "alarm",
    "alb",
    "albatross",
    "alcohol",
    "alcove",
    "alder",
    "algebra",
    "alibi",
    "allergist",
    "alley",
    "alligator",
    "alloy",
    "almanac",
    "almond",
    "alpaca",
    "alpenglow",
    "alpenhorn",
    "alpha",
    "alphabet",
    "alternative",
    "altitude",
    "alto",
    "aluminium",
    "aluminum",
    "ambassador",
    "ambition",
    "ambulance",
    "amendment",
    "amount",
    "amusement",
    "anagram",
    "analgesia",
    "analog",
    "analogue",
    "analogy",
    "analysis",
    "analyst",
    "anatomy",
    "anesthesiology",
    "anethesiologist",
    "anger",
    "angiosperm",
    "angle",
    "angora",
    "angstrom",
    "anguish",
    "animal",
    "anime",
    "ankle",
    "anklet",
    "annual",
    "anorak",
    "answer",
    "ant",
    "anteater",
    "antechamber",
    "antelope",
    "anthony",
    "anthropology",
    "antler",
    "anxiety",
    "anybody",
    "anything",
    "anywhere",
    "apartment",
    "ape",
    "aperitif",
    "apology",
    "apparatus",
    "apparel",
    "appeal",
    "appearance",
    "appendix",
    "applause",
    "apple",
    "applewood",
    "appliance",
    "application",
    "appointment",
    "approval",
    "apron",
    "apse",
    "aquifer",
    "arch",
    "archaeology",
    "archeology",
    "archer",
    "architect",
    "architecture",
    "arch-rival",
    "area",
    "argument",
    "arithmetic",
    "arm",
    "armadillo",
    "armament",
    "armchair",
    "armoire",
    "armor",
    "arm-rest",
    "army",
    "arrival",
    "arrow",
    "art",
    "artichoke",
    "article",
    "artificer",
    "ascot",
    "ash",
    "ashram",
    "ashtray",
    "aside",
    "ask",
    "asparagus",
    "aspect",
    "asphalt",
    "assignment",
    "assist",
    "assistance",
    "assistant",
    "associate",
    "association",
    "assumption",
    "asterisk",
    "astrakhan",
    "astrolabe",
    "astrologer",
    "astrology",
    "astronomy",
    "atelier",
    "athlete",
    "athletics",
    "atmosphere",
    "atom",
    "atrium",
    "attachment",
    "attack",
    "attempt",
    "attendant",
    "attention",
    "attenuation",
    "attic",
    "attitude",
    "attorney",
    "attraction",
    "audience",
    "auditorium",
    "aunt",
    "author",
    "authorisation",
    "authority",
    "authorization",
    "automaton",
    "avalanche",
    "avenue",
    "average",
    "award",
    "awareness",
    "azimuth",
    "babe",
    "baboon",
    "babushka",
    "baby",
    "back",
    "backbone",
    "backdrop",
    "background",
    "backpack",
    "bacon",
    "bad",
    "badge",
    "badger",
    "bafflement",
    "bag",
    "bagel",
    "baggage",
    "bagpipe",
    "bail",
    "bait",
    "bake",
    "baker",
    "bakery",
    "bakeware",
    "balaclava",
    "balalaika",
    "balance",
    "balcony",
    "ball",
    "ballet",
    "balloon",
    "ballpark",
    "bamboo",
    "banana",
    "band",
    "bandana",
    "bandanna",
    "bandolier",
    "bangle",
    "banjo",
    "bank",
    "bankbook",
    "banker",
    "banquette",
    "baobab",
    "bar",
    "barbeque",
    "barber",
    "barbiturate",
    "barge",
    "baritone",
    "barium",
    "barn",
    "barometer",
    "barracks",
    "barstool",
    "base",
    "baseball",
    "basement",
    "basin",
    "basis",
    "basket",
    "basketball",
    "bass",
    "bassinet",
    "bassoon",
    "bat",
    "bath",
    "bather",
    "bathhouse",
    "bathrobe",
    "bathroom",
    "bathtub",
    "batter",
    "battery",
    "batting",
    "battle",
    "battleship",
    "bay",
    "bayou",
    "beach",
    "bead",
    "beak",
    "beam",
    "bean",
    "beanie",
    "beanstalk",
    "bear",
    "beard",
    "beast",
    "beat",
    "beautiful",
    "beauty",
    "beaver",
    "bed",
    "bedroom",
    "bee",
    "beech",
    "beef",
    "beer",
    "beet",
    "beetle",
    "beggar",
    "beginner",
    "beginning",
    "begonia",
    "behavior",
    "beheading",
    "behest",
    "being",
    "belfry",
    "belief",
    "believe",
    "bell",
    "belligerency",
    "bellows",
    "belly",
    "belt",
    "bench",
    "bend",
    "beneficiary",
    "benefit",
    "bengal",
    "beret",
    "berry",
    "bestseller",
    "best-seller",
    "bet",
    "beverage",
    "beyond",
    "bibliography",
    "bicycle",
    "bid",
    "bidet",
    "bifocals",
    "big",
    "big-rig",
    "bijou",
    "bike",
    "bikini",
    "bill",
    "billboard",
    "bin",
    "biology",
    "biplane",
    "birch",
    "bird",
    "birdbath",
    "birdcage",
    "birdhouse",
    "bird-watcher",
    "birth",
    "birthday",
    "bit",
    "bite",
    "bitter",
    "black",
    "blackberry",
    "blackboard",
    "blackfish",
    "bladder",
    "blade",
    "blame",
    "blank",
    "blanket",
    "blazer",
    "blight",
    "blind",
    "blinker",
    "blister",
    "blizzard",
    "block",
    "blocker",
    "blood",
    "bloodflow",
    "bloom",
    "bloomers",
    "blossom",
    "blouse",
    "blow",
    "blowgun",
    "blowhole",
    "blue",
    "blueberry",
    "boar",
    "board",
    "boat",
    "boat-building",
    "boatload",
    "boatyard",
    "bobcat",
    "body",
    "bog",
    "bolero",
    "bolt",
    "bomb",
    "bomber",
    "bondsman",
    "bone",
    "bongo",
    "bonnet",
    "bonsai",
    "bonus",
    "boogeyman",
    "book",
    "bookcase",
    "bookend",
    "booklet",
    "booster",
    "boot",
    "bootee",
    "bootie",
    "boots",
    "booty",
    "border",
    "bore",
    "bosom",
    "boss",
    "botany",
    "bother",
    "bottle",
    "bottling",
    "bottom",
    "bottom-line",
    "boudoir",
    "bough",
    "boundary",
    "bow",
    "bower",
    "bowl",
    "bowler",
    "bowling",
    "bowtie",
    "box",
    "boxer",
    "boxspring",
    "boy",
    "boyfriend",
    "bra",
    "brace",
    "bracelet",
    "bracket",
    "brain",
    "brake",
    "branch",
    "brand",
    "brandy",
    "brass",
    "brassiere",
    "bratwurst",
    "brave",
    "bread",
    "breadcrumb",
    "break",
    "breakfast",
    "breakpoint",
    "breast",
    "breastplate",
    "breath",
    "breeze",
    "bribery",
    "brick",
    "bricklaying",
    "bridge",
    "brief",
    "briefs",
    "brilliant",
    "british",
    "broad",
    "broccoli",
    "brochure",
    "broiler",
    "broker",
    "brome",
    "bronchitis",
    "bronco",
    "bronze",
    "brooch",
    "brood",
    "brook",
    "broom",
    "brother",
    "brother-in-law",
    "brow",
    "brown",
    "brush",
    "brushfire",
    "brushing",
    "bubble",
    "bucket",
    "buckle",
    "bud",
    "buddy",
    "budget",
    "buffer",
    "buffet",
    "bug",
    "buggy",
    "bugle",
    "building",
    "bulb",
    "bull",
    "bulldozer",
    "bullet",
    "bull-fighter",
    "bumper",
    "bun",
    "bunch",
    "bungalow",
    "bunghole",
    "bunkhouse",
    "burglar",
    "burlesque",
    "burn",
    "burn-out",
    "burst",
    "bus",
    "bush",
    "business",
    "bust",
    "bustle",
    "butane",
    "butcher",
    "butter",
    "button",
    "buy",
    "buyer",
    "buzzard",
    "cabana",
    "cabbage",
    "cabin",
    "cabinet",
    "cable",
    "caboose",
    "cacao",
    "cactus",
    "caddy",
    "cadet",
    "cafe",
    "caftan",
    "cake",
    "calcification",
    "calculation",
    "calculator",
    "calculus",
    "calendar",
    "calf",
    "calico",
    "call",
    "calm",
    "camel",
    "cameo",
    "camera",
    "camp",
    "campaign",
    "campanile",
    "can",
    "canal",
    "cancel",
    "cancer",
    "candelabra",
    "candidate",
    "candle",
    "candy",
    "cane",
    "cannon",
    "canoe",
    "canon",
    "canopy",
    "canteen",
    "canvas",
    "cap",
    "cape",
    "capital",
    "capitulation",
    "capon",
    "cappelletti",
    "cappuccino",
    "captain",
    "caption",
    "car",
    "caravan",
    "carbon",
    "card",
    "cardboard",
    "cardigan",
    "care",
    "career",
    "cargo",
    "carload",
    "carnation",
    "carol",
    "carotene",
    "carp",
    "carpenter",
    "carpet",
    "carport",
    "carriage",
    "carrier",
    "carrot",
    "carry",
    "cart",
    "cartilage",
    "cartload",
    "cartoon",
    "cartridge",
    "cascade",
    "case",
    "casement",
    "cash",
    "cashier",
    "casino",
    "casserole",
    "cassock",
    "cast",
    "castanet",
    "castanets",
    "castle",
    "cat",
    "catacomb",
    "catamaran",
    "catch",
    "category",
    "caterpillar",
    "cathedral",
    "catsup",
    "cattle",
    "cauliflower",
    "cause",
    "caution",
    "cave",
    "c-clamp",
    "cd",
    "ceiling",
    "celebration",
    "celeriac",
    "celery",
    "celeste",
    "cell",
    "cellar",
    "cello",
    "celsius",
    "cement",
    "cemetery",
    "cenotaph",
    "census",
    "cent",
    "center",
    "centimeter",
    "centurion",
    "century",
    "cephalopod",
    "ceramic",
    "cereal",
    "certification",
    "cesspool",
    "chafe",
    "chain",
    "chainstay",
    "chair",
    "chairlift",
    "chairman",
    "chairperson",
    "chaise",
    "chalet",
    "chalice",
    "chalk",
    "challenge",
    "champion",
    "championship",
    "chance",
    "chandelier",
    "change",
    "channel",
    "chaos",
    "chap",
    "chapel",
    "chapter",
    "character",
    "chard",
    "charge",
    "charity",
    "charlatan",
    "charles",
    "charm",
    "chart",
    "chastity",
    "chasuble",
    "chateau",
    "chauffeur",
    "chauvinist",
    "check",
    "checkroom",
    "cheek",
    "cheetah",
    "chef",
    "chemical",
    "chemistry",
    "cheque",
    "cherries",
    "cherry",
    "chess",
    "chest",
    "chick",
    "chicken",
    "chicory",
    "chief",
    "chiffonier",
    "child",
    "childhood",
    "children",
    "chill",
    "chime",
    "chimpanzee",
    "chin",
    "chino",
    "chip",
    "chipmunk",
    "chit-chat",
    "chivalry",
    "chive",
    "chocolate",
    "choice",
    "choker",
    "chop",
    "chopstick",
    "chord",
    "chowder",
    "chrome",
    "chromolithograph",
    "chronograph",
    "chronometer",
    "chub",
    "chug",
    "church",
    "churn",
    "cicada",
    "cigarette",
    "cinema",
    "circle",
    "circulation",
    "circumference",
    "cirrus",
    "citizenship",
    "city",
    "civilisation",
    "claim",
    "clam",
    "clank",
    "clapboard",
    "clarinet",
    "clasp",
    "class",
    "classic",
    "classroom",
    "clause",
    "clave",
    "clavicle",
    "clavier",
    "cleaner",
    "cleat",
    "cleavage",
    "clef",
    "cleric",
    "clerk",
    "click",
    "client",
    "cliff",
    "climate",
    "climb",
    "clip",
    "clipper",
    "cloak",
    "cloakroom",
    "clock",
    "clockwork",
    "clogs",
    "cloister",
    "close",
    "closet",
    "cloth",
    "clothes",
    "clothing",
    "cloud",
    "cloudburst",
    "cloudy",
    "clove",
    "clover",
    "club",
    "clue",
    "clutch",
    "coach",
    "coal",
    "coast",
    "coat",
    "cob",
    "cobweb",
    "cockpit",
    "cockroach",
    "cocktail",
    "cocoa",
    "cod",
    "code",
    "codon",
    "codpiece",
    "coevolution",
    "coffee",
    "coffin",
    "coil",
    "coin",
    "coinsurance",
    "coke",
    "cold",
    "coliseum",
    "collar",
    "collection",
    "college",
    "collision",
    "colloquia",
    "colon",
    "colonisation",
    "colony",
    "color",
    "colt",
    "column",
    "columnist",
    "comb",
    "combat",
    "combination",
    "combine",
    "comfort",
    "comfortable",
    "comic",
    "comma",
    "command",
    "comment",
    "commerce",
    "commercial",
    "commission",
    "committee",
    "common",
    "communicant",
    "communication",
    "community",
    "company",
    "comparison",
    "compassion",
    "competition",
    "competitor",
    "complaint",
    "complement",
    "complex",
    "component",
    "comportment",
    "composer",
    "composition",
    "compost",
    "comprehension",
    "compulsion",
    "computer",
    "comradeship",
    "concentrate",
    "concept",
    "concern",
    "concert",
    "conclusion",
    "concrete",
    "condition",
    "condominium",
    "condor",
    "conductor",
    "cone",
    "confectionery",
    "conference",
    "confidence",
    "confirmation",
    "conflict",
    "confusion",
    "conga",
    "congo",
    "congress",
    "congressman",
    "congressperson",
    "conifer",
    "connection",
    "consent",
    "consequence",
    "consideration",
    "consist",
    "console",
    "consonant",
    "conspirator",
    "constant",
    "constellation",
    "construction",
    "consul",
    "consulate",
    "contact",
    "contact lens",
    "contagion",
    "content",
    "contest",
    "context",
    "continent",
    "contract",
    "contrail",
    "contrary",
    "contribution",
    "control",
    "convection",
    "conversation",
    "convert",
    "convertible",
    "cook",
    "cookie",
    "cooking",
    "coonskin",
    "cope",
    "cop-out",
    "copper",
    "co-producer",
    "copy",
    "copyright",
    "copywriter",
    "cord",
    "corduroy",
    "cork",
    "cormorant",
    "corn",
    "corner",
    "cornerstone",
    "cornet",
    "corral",
    "correspondent",
    "corridor",
    "corruption",
    "corsage",
    "cost",
    "costume",
    "cot",
    "cottage",
    "cotton",
    "couch",
    "cougar",
    "cough",
    "council",
    "councilman",
    "councilor",
    "councilperson",
    "count",
    "counter",
    "counter-force",
    "countess",
    "country",
    "county",
    "couple",
    "courage",
    "course",
    "court",
    "cousin",
    "covariate",
    "cover",
    "coverall",
    "cow",
    "cowbell",
    "cowboy",
    "crab",
    "crack",
    "cracker",
    "crackers",
    "cradle",
    "craft",
    "craftsman",
    "crash",
    "crate",
    "cravat",
    "craw",
    "crawdad",
    "crayfish",
    "crayon",
    "crazy",
    "cream",
    "creative",
    "creator",
    "creature",
    "creche",
    "credenza",
    "credit",
    "creditor",
    "creek",
    "creme brulee",
    "crest",
    "crew",
    "crib",
    "cribbage",
    "cricket",
    "cricketer",
    "crime",
    "criminal",
    "crinoline",
    "criteria",
    "criterion",
    "criticism",
    "crocodile",
    "crocus",
    "croissant",
    "crook",
    "crop",
    "cross",
    "cross-contamination",
    "cross-stitch",
    "crotch",
    "croup",
    "crow",
    "crowd",
    "crown",
    "crude",
    "crush",
    "cry",
    "crystallography",
    "cub",
    "cuckoo",
    "cucumber",
    "cuff-links",
    "cultivar",
    "cultivator",
    "culture",
    "culvert",
    "cummerbund",
    "cup",
    "cupboard",
    "cupcake",
    "cupola",
    "curio",
    "curl",
    "curler",
    "currency",
    "current",
    "cursor",
    "curtain",
    "curve",
    "cushion",
    "custard",
    "customer",
    "cut",
    "cuticle",
    "cutlet",
    "cutover",
    "cutting",
    "cyclamen",
    "cycle",
    "cyclone",
    "cylinder",
    "cymbal",
    "cymbals",
    "cynic",
    "cyst",
    "cytoplasm",
    "dad",
    "daffodil",
    "dagger",
    "dahlia",
    "daisy",
    "damage",
    "dame",
    "dance",
    "dancer",
    "dancing",
    "danger",
    "daniel",
    "dare",
    "dark",
    "dart",
    "dash",
    "dashboard",
    "data",
    "database",
    "date",
    "daughter",
    "david",
    "day",
    "daybed",
    "dead",
    "deadline",
    "deal",
    "dealer",
    "dear",
    "death",
    "deathwatch",
    "debate",
    "debt",
    "debtor",
    "decade",
    "decimal",
    "decision",
    "deck",
    "declination",
    "decongestant",
    "decrease",
    "decryption",
    "dedication",
    "deep",
    "deer",
    "defense",
    "deficit",
    "definition",
    "deformation",
    "degree",
    "delay",
    "delete",
    "delight",
    "delivery",
    "demand",
    "demur",
    "den",
    "denim",
    "dentist",
    "deodorant",
    "department",
    "departure",
    "dependent",
    "deployment",
    "deposit",
    "depression",
    "depressive",
    "depth",
    "deputy",
    "derby",
    "derrick",
    "description",
    "desert",
    "design",
    "designer",
    "desire",
    "desk",
    "dessert",
    "destiny",
    "destroyer",
    "destruction",
    "detail",
    "detainment",
    "detective",
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    "sectional",
    "sector",
    "secure",
    "security",
    "seed",
    "seeder",
    "segment",
    "select",
    "selection",
    "self",
    "sell",
    "semicircle",
    "semicolon",
    "senator",
    "senior",
    "sense",
    "sensitive",
    "sentence",
    "sepal",
    "septicaemia",
    "series",
    "servant",
    "serve",
    "server",
    "service",
    "session",
    "set",
    "setting",
    "settler",
    "sewer",
    "sex",
    "shack",
    "shade",
    "shadow",
    "shadowbox",
    "shake",
    "shakedown",
    "shaker",
    "shallot",
    "shame",
    "shampoo",
    "shanty",
    "shape",
    "share",
    "shark",
    "sharon",
    "shawl",
    "she",
    "shearling",
    "shears",
    "sheath",
    "shed",
    "sheep",
    "sheet",
    "shelf",
    "shell",
    "shelter",
    "sherry",
    "shield",
    "shift",
    "shin",
    "shine",
    "shingle",
    "ship",
    "shirt",
    "shirtdress",
    "shoat",
    "shock",
    "shoe",
    "shoehorn",
    "shoe-horn",
    "shoelace",
    "shoemaker",
    "shoes",
    "shoestring",
    "shofar",
    "shoot",
    "shootdown",
    "shop",
    "shopper",
    "shopping",
    "shore",
    "shortage",
    "shorts",
    "shortwave",
    "shot",
    "shoulder",
    "shovel",
    "show",
    "shower",
    "show-stopper",
    "shred",
    "shrimp",
    "shrine",
    "sibling",
    "sick",
    "side",
    "sideboard",
    "sideburns",
    "sidecar",
    "sidestream",
    "sidewalk",
    "siding",
    "sign",
    "signal",
    "signature",
    "signet",
    "significance",
    "signup",
    "silence",
    "silica",
    "silk",
    "silkworm",
    "sill",
    "silly",
    "silo",
    "silver",
    "simple",
    "sing",
    "singer",
    "single",
    "sink",
    "sir",
    "sister",
    "sister-in-law",
    "sitar",
    "site",
    "situation",
    "size",
    "skate",
    "skiing",
    "skill",
    "skin",
    "skirt",
    "skull",
    "skullcap",
    "skullduggery",
    "skunk",
    "sky",
    "skylight",
    "skyscraper",
    "skywalk",
    "slapstick",
    "slash",
    "slave",
    "sled",
    "sledge",
    "sleep",
    "sleet",
    "sleuth",
    "slice",
    "slide",
    "slider",
    "slime",
    "slip",
    "slipper",
    "slippers",
    "slope",
    "sloth",
    "smash",
    "smell",
    "smelting",
    "smile",
    "smock",
    "smog",
    "smoke",
    "smoking",
    "smuggling",
    "snail",
    "snake",
    "snakebite",
    "sneakers",
    "sneeze",
    "snob",
    "snorer",
    "snow",
    "snowboarding",
    "snowflake",
    "snowman",
    "snowmobiling",
    "snowplow",
    "snowstorm",
    "snowsuit",
    "snuggle",
    "soap",
    "soccer",
    "society",
    "sociology",
    "sock",
    "socks",
    "soda",
    "sofa",
    "soft",
    "softball",
    "softdrink",
    "softening",
    "software",
    "soil",
    "soldier",
    "solid",
    "solitaire",
    "solution",
    "sombrero",
    "somersault",
    "somewhere",
    "son",
    "song",
    "songbird",
    "sonnet",
    "soot",
    "soprano",
    "sorbet",
    "sorrow",
    "sort",
    "soulmate",
    "sound",
    "soup",
    "source",
    "sourwood",
    "sousaphone",
    "south",
    "south america",
    "south korea",
    "sow",
    "soy",
    "soybean",
    "space",
    "spacing",
    "spade",
    "spaghetti",
    "spandex",
    "spank",
    "spare",
    "spark",
    "sparrow",
    "spasm",
    "speaker",
    "speakerphone",
    "spear",
    "special",
    "specialist",
    "specific",
    "spectacle",
    "spectacles",
    "spectrograph",
    "speech",
    "speed",
    "speedboat",
    "spell",
    "spelling",
    "spend",
    "sphere",
    "sphynx",
    "spider",
    "spike",
    "spinach",
    "spine",
    "spiral",
    "spirit",
    "spiritual",
    "spite",
    "spleen",
    "split",
    "sponge",
    "spoon",
    "sport",
    "spot",
    "spotlight",
    "spray",
    "spread",
    "spring",
    "sprinter",
    "sprout",
    "spruce",
    "spume",
    "spur",
    "spy",
    "square",
    "squash",
    "squatter",
    "squeegee",
    "squid",
    "squirrel",
    "stable",
    "stack",
    "stacking",
    "stadium",
    "staff",
    "stag",
    "stage",
    "stain",
    "stair",
    "staircase",
    "stallion",
    "stamen",
    "stamina",
    "stamp",
    "stance",
    "stand",
    "standard",
    "standoff",
    "star",
    "start",
    "starter",
    "state",
    "statement",
    "station",
    "station-wagon",
    "statistic",
    "status",
    "stay",
    "steak",
    "steal",
    "steam",
    "steamroller",
    "steel",
    "steeple",
    "stem",
    "stencil",
    "step",
    "step-aunt",
    "step-brother",
    "stepdaughter",
    "step-daughter",
    "step-father",
    "step-grandfather",
    "step-grandmother",
    "stepmother",
    "step-mother",
    "stepping-stone",
    "steps",
    "step-sister",
    "stepson",
    "step-son",
    "step-uncle",
    "stew",
    "stick",
    "stiletto",
    "still",
    "stinger",
    "stitch",
    "stock",
    "stocking",
    "stockings",
    "stock-in-trade",
    "stole",
    "stomach",
    "stone",
    "stonework",
    "stool",
    "stop",
    "stopsign",
    "stopwatch",
    "storage",
    "store",
    "storey",
    "storm",
    "story",
    "storyboard",
    "story-telling",
    "stove",
    "strain",
    "strait",
    "stranger",
    "strap",
    "strategy",
    "straw",
    "strawberry",
    "stream",
    "street",
    "streetcar",
    "strength",
    "stress",
    "stretch",
    "strike",
    "string",
    "strip",
    "stroke",
    "structure",
    "struggle",
    "stud",
    "student",
    "studio",
    "study",
    "stuff",
    "stumbling",
    "stupid",
    "stupidity",
    "sturgeon",
    "style",
    "styling",
    "stylus",
    "subcomponent",
    "subconscious",
    "subject",
    "submarine",
    "subroutine",
    "subsidence",
    "substance",
    "suburb",
    "subway",
    "success",
    "suck",
    "suede",
    "suffocation",
    "sugar",
    "suggestion",
    "suit",
    "suitcase",
    "sultan",
    "summer",
    "sun",
    "sunbeam",
    "sunbonnet",
    "sunday",
    "sundial",
    "sunflower",
    "sunglasses",
    "sunlamp",
    "sunroom",
    "sunshine",
    "supermarket",
    "supply",
    "support",
    "supporter",
    "suppression",
    "surface",
    "surfboard",
    "surgeon",
    "surgery",
    "surname",
    "surprise",
    "surround",
    "survey",
    "sushi",
    "suspect",
    "suspenders",
    "sustainment",
    "SUV",
    "swallow",
    "swamp",
    "swan",
    "swath",
    "sweat",
    "sweater",
    "sweats",
    "sweatshirt",
    "sweatshop",
    "sweatsuit",
    "swedish",
    "sweet",
    "sweets",
    "swell",
    "swim",
    "swimming",
    "swimsuit",
    "swing",
    "swiss",
    "switch",
    "switchboard",
    "swivel",
    "sword",
    "swordfish",
    "sycamore",
    "symmetry",
    "sympathy",
    "syndicate",
    "synergy",
    "synod",
    "syrup",
    "system",
    "tabby",
    "tabernacle",
    "table",
    "tablecloth",
    "tabletop",
    "tachometer",
    "tackle",
    "tadpole",
    "tail",
    "tailor",
    "tailspin",
    "tale",
    "talk",
    "tam",
    "tambour",
    "tambourine",
    "tam-o'-shanter",
    "tandem",
    "tangerine",
    "tank",
    "tanker",
    "tankful",
    "tank-top",
    "tap",
    "tard",
    "target",
    "task",
    "tassel",
    "taste",
    "tatami",
    "tattler",
    "tattoo",
    "tavern",
    "tax",
    "taxi",
    "taxicab",
    "tea",
    "teach",
    "teacher",
    "teaching",
    "team",
    "tear",
    "technologist",
    "technology",
    "teen",
    "teeth",
    "telephone",
    "telescreen",
    "teletype",
    "television",
    "tell",
    "teller",
    "temp",
    "temper",
    "temperature",
    "temple",
    "tempo",
    "temporariness",
    "temporary",
    "temptress",
    "tendency",
    "tenement",
    "tennis",
    "tenor",
    "tension",
    "tent",
    "tepee",
    "term",
    "terracotta",
    "terrapin",
    "territory",
    "test",
    "text",
    "textbook",
    "texture",
    "thanks",
    "thaw",
    "theater",
    "theism",
    "theme",
    "theory",
    "therapist",
    "thermals",
    "thermometer",
    "thigh",
    "thing",
    "thinking",
    "thirst",
    "thistle",
    "thomas",
    "thong",
    "thongs",
    "thorn",
    "thought",
    "thread",
    "thrill",
    "throat",
    "throne",
    "thrush",
    "thumb",
    "thunder",
    "thunderbolt",
    "thunderhead",
    "thunderstorm",
    "tiara",
    "tic",
    "ticket",
    "tie",
    "tiger",
    "tight",
    "tights",
    "tile",
    "till",
    "timbale",
    "timber",
    "time",
    "timeline",
    "timeout",
    "timer",
    "timpani",
    "tin",
    "tinderbox",
    "tinkle",
    "tintype",
    "tip",
    "tire",
    "tissue",
    "titanium",
    "title",
    "toad",
    "toast",
    "today",
    "toe",
    "toenail",
    "toga",
    "togs",
    "toilet",
    "tolerance",
    "tom",
    "tomato",
    "tomography",
    "tomorrow",
    "tom-tom",
    "ton",
    "tone",
    "tongue",
    "tonight",
    "tool",
    "toot",
    "tooth",
    "toothbrush",
    "toothpaste",
    "toothpick",
    "top",
    "top-hat",
    "topic",
    "topsail",
    "toque",
    "torchiere",
    "toreador",
    "tornado",
    "torso",
    "tortellini",
    "tortoise",
    "tosser",
    "total",
    "tote",
    "touch",
    "tough",
    "tough-guy",
    "tour",
    "tourist",
    "towel",
    "tower",
    "town",
    "townhouse",
    "tow-truck",
    "toy",
    "trachoma",
    "track",
    "tracksuit",
    "tractor",
    "trade",
    "tradition",
    "traditionalism",
    "traffic",
    "trail",
    "trailer",
    "train",
    "trainer",
    "training",
    "tram",
    "tramp",
    "transaction",
    "transition",
    "translation",
    "transmission",
    "transom",
    "transport",
    "transportation",
    "trapdoor",
    "trapezium",
    "trapezoid",
    "trash",
    "travel",
    "tray",
    "treat",
    "treatment",
    "tree",
    "trellis",
    "tremor",
    "trench",
    "trial",
    "triangle",
    "tribe",
    "trick",
    "trigonometry",
    "trim",
    "trinket",
    "trip",
    "tripod",
    "trolley",
    "trombone",
    "trooper",
    "trouble",
    "trousers",
    "trout",
    "trove",
    "trowel",
    "truck",
    "truckit",
    "trumpet",
    "trunk",
    "trust",
    "truth",
    "try",
    "t-shirt",
    "tsunami",
    "tub",
    "tuba",
    "tube",
    "tugboat",
    "tulip",
    "tummy",
    "tuna",
    "tune",
    "tune-up",
    "tunic",
    "tunnel",
    "turban",
    "turkish",
    "turn",
    "turnip",
    "turnover",
    "turnstile",
    "turret",
    "turtle",
    "tussle",
    "tutu",
    "tuxedo",
    "tv",
    "twig",
    "twilight",
    "twine",
    "twist",
    "twister",
    "two",
    "type",
    "typewriter",
    "typhoon",
    "tyvek",
    "ukulele",
    "umbrella",
    "unblinking",
    "uncle",
    "underclothes",
    "underground",
    "underneath",
    "underpants",
    "underpass",
    "undershirt",
    "understanding",
    "underwear",
    "underwire",
    "unemployment",
    "unibody",
    "uniform",
    "union",
    "unique",
    "unit",
    "unity",
    "university",
    "upper",
    "upstairs",
    "urn",
    "usage",
    "use",
    "user",
    "usher",
    "usual",
    "utensil",
    "vacation",
    "vacuum",
    "vagrant",
    "valance",
    "validity",
    "valley",
    "valuable",
    "value",
    "van",
    "vane",
    "vanity",
    "variation",
    "variety",
    "vase",
    "vast",
    "vault",
    "vaulting",
    "veal",
    "vegetable",
    "vegetarianism",
    "vegetation",
    "vehicle",
    "veil",
    "vein",
    "veldt",
    "vellum",
    "velodrome",
    "velvet",
    "vengeance",
    "venom",
    "veranda",
    "verdict",
    "vermicelli",
    "verse",
    "version",
    "vertigo",
    "verve",
    "vessel",
    "vest",
    "vestment",
    "vibe",
    "vibraphone",
    "vibration",
    "video",
    "view",
    "villa",
    "village",
    "vineyard",
    "vinyl",
    "viola",
    "violence",
    "violet",
    "violin",
    "virginal",
    "virtue",
    "virus",
    "viscose",
    "vise",
    "vision",
    "visit",
    "visitor",
    "visor",
    "visual",
    "vitality",
    "vixen",
    "voice",
    "volcano",
    "volleyball",
    "volume",
    "voyage",
    "vulture",
    "wad",
    "wafer",
    "waffle",
    "waist",
    "waistband",
    "wait",
    "waiter",
    "waitress",
    "wake",
    "walk",
    "walker",
    "walkway",
    "wall",
    "wallaby",
    "wallet",
    "walnut",
    "walrus",
    "wampum",
    "wannabe",
    "war",
    "warden",
    "warlock",
    "warmth",
    "warm-up",
    "warning",
    "wash",
    "washbasin",
    "washcloth",
    "washer",
    "washtub",
    "wasp",
    "waste",
    "wastebasket",
    "watch",
    "watchmaker",
    "water",
    "waterbed",
    "waterfall",
    "waterskiing",
    "waterspout",
    "wave",
    "wax",
    "way",
    "weakness",
    "wealth",
    "weapon",
    "wear",
    "weasel",
    "weather",
    "web",
    "wedding",
    "wedge",
    "weed",
    "weeder",
    "weedkiller",
    "week",
    "weekend",
    "weekender",
    "weight",
    "weird",
    "welcome",
    "welfare",
    "well",
    "west",
    "western",
    "wet-bar",
    "wetsuit",
    "whale",
    "wharf",
    "wheat",
    "wheel",
    "whereas",
    "while",
    "whip",
    "whirlpool",
    "whirlwind",
    "whisker",
    "whiskey",
    "whistle",
    "white",
    "whole",
    "wholesale",
    "wholesaler",
    "whorl",
    "width",
    "wife",
    "wilderness",
    "wildlife",
    "will",
    "willow",
    "win",
    "wind",
    "windage",
    "wind-chime",
    "window",
    "windscreen",
    "windshield",
    "wine",
    "wing",
    "wingman",
    "wingtip",
    "winner",
    "winter",
    "wire",
    "wisdom",
    "wiseguy",
    "wish",
    "wisteria",
    "witch",
    "witch-hunt",
    "withdrawal",
    "witness",
    "wolf",
    "wombat",
    "women",
    "wonder",
    "wood",
    "woodland",
    "woodshed",
    "woodwind",
    "wool",
    "woolen",
    "word",
    "work",
    "workbench",
    "worker",
    "workhorse",
    "working",
    "worklife",
    "workshop",
    "world",
    "worm",
    "worry",
    "worth",
    "worthy",
    "wound",
    "wrap",
    "wraparound",
    "wrecker",
    "wren",
    "wrench",
    "wrestler",
    "wrinkle",
    "wrist",
    "writer",
    "writing",
    "wrong",
    "xylophone",
    "yacht",
    "yak",
    "yam",
    "yard",
    "yarmulke",
    "yarn",
    "yawl",
    "year",
    "yeast",
    "yellow",
    "yesterday",
    "yew",
    "yin",
    "yoga",
    "yogurt",
    "yoke",
    "you",
    "young",
    "youth",
    "yurt",
    "zampone",
    "zebra",
    "zebrafish",
    "zephyr",
    "ziggurat",
    "zinc",
    "zipper",
    "zither",
    "zone",
    "zoo",
    "zoologist",
    "zoology",
    "zoot-suit",
    "zucchini"
]

In [2]:
import gensim
import numpy as np

In [3]:
MODEL = gensim.models.KeyedVectors.load_word2vec_format("../../Downloads/GoogleNews-vectors-negative300.bin.gz", binary=True)

In [5]:
keyed_words = {}
for i in words:
    try:
        vec = MODEL[i]
        keyed_words[i] = vec
    except:
        words.remove(i)

In [6]:
from sklearn.manifold import locally_linear_embedding as lle

In [42]:
word_array = np.asarray(keyed_words.values())
d2_keyed_words = word_array.reshape(len(word_array),-1)
simpler = lle(d2_keyed_words, 200, 5)
d2_simpler = [simpler[0].reshape(len(word_array), -1)]

In [9]:
x = [i[0] for i in d2_simpler[0]]
y = [i[1] for i in d2_simpler[0]]

In [10]:
%matplotlib inline

In [43]:
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(18,16))
ax.scatter(x, y)

for i, word in enumerate(words):
    if not i % 5:
        ax.annotate(word, (x[i],y[i]))


---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-43-00e463802fc7> in <module>()
      5 for i, word in enumerate(words):
      6     if not i % 5:
----> 7         ax.annotate(word, (x[i],y[i]))

IndexError: list index out of range

In [24]:
print(words[50], words[1000])


('aftershock', 'criteria')

In [13]:
len(d2_simpler[0]), len(simpler[0]), len(keyed_words.keys())


Out[13]:
(4284, 4284, 4284)

In [44]:
f = 2000
s = 3000
added = np.add(simpler[0][f], simpler[0][s])
WordTree = scipy.spatial.cKDTree(simpler[0], leafsize=100)
print words[f], words[s]
print added


information power
[ 0.00484922 -0.00034085 -0.02346718 -0.00973003 -0.00588942]

In [45]:
words[WordTree.query(added)[1]]


Out[45]:
'protection'

In [192]:
og_added = np.add(word_array[5], word_array[-100])

In [195]:
MODEL.most_similar([og_added])


Out[195]:
[(u'sleet', 0.836249053478241),
 (u'freezing_rain', 0.7148109674453735),
 (u'catsup', 0.691159188747406),
 (u'wintry_mix', 0.6593579053878784),
 (u'snow_sleet', 0.6372032761573792),
 (u'freezing_drizzle', 0.6133390665054321),
 (u'rain_sleet', 0.6124122142791748),
 (u'Snow_sleet', 0.5954855680465698),
 (u'snow_flurries', 0.5930567979812622),
 (u'drizzle', 0.5888382196426392)]

In [75]:
unsored_nouns = keyed_words.keys()
unsored_nouns.sort()
with open('nouns.txt', 'wb') as out:
    for i in unsored_nouns:
        out.write("%s \n"% i)

In [97]:
import pickle
with open('word_vecs.pkl', 'wb') as out:
    pickle.dump(
        simpler,
        out
    )

In [95]:
with open('word_vecs.pkl', 'r') as in_pkl:
    word_vecs = pickle.load(in_pkl)

In [96]:
word_vecs


Out[96]:
{'fawn': array([ 0.00281112, -0.01120461,  0.00672226, -0.00462778, -0.00379836]),
 'bagpipe': array([-0.01330837, -0.01623562,  0.01379847, -0.00267772, -0.00411537]),
 'sunbonnet': array([-0.03235718, -0.00319455, -0.03574971, -0.0060604 ,  0.00615774]),
 'jailhouse': array([ 0.00921799, -0.01067938, -0.04604781, -0.00288418, -0.00779862]),
 'chaos': array([-0.01368365, -0.0057258 ,  0.02207356, -0.00496465, -0.00074073]),
 'sleet': array([ 0.02238837,  0.01247993,  0.00208623,  0.00296842, -0.01826984]),
 'facilities': array([-0.04356629,  0.00668961, -0.02262879, -0.00220928,  0.00562298]),
 'protest': array([ 0.01063172,  0.02228529,  0.02016433, -0.01192571, -0.01394838]),
 'nursery': array([ 0.0098787 ,  0.00076058, -0.00929212, -0.00359649,  0.01832981]),
 'sleep': array([-0.0241047 ,  0.02467045, -0.02342391,  0.00478905, -0.00288184]),
 'maid': array([  8.84879849e-03,  -3.51357440e-05,   1.69207833e-02,
          1.38564328e-02,  -7.64495846e-03]),
 'preface': array([-0.00031611, -0.02576557,  0.0026543 , -0.00091915, -0.00891132]),
 'mansion': array([-0.00491796, -0.02799518, -0.0004255 ,  0.0129643 , -0.00329456]),
 'climb': array([-0.00678318, -0.02643554, -0.00207318,  0.00642956,  0.00410374]),
 'captain': array([ 0.00392396, -0.02310353,  0.00217677,  0.01351634,  0.00522917]),
 'centimeter': array([ 0.02677949,  0.00201421, -0.02307962, -0.00169195, -0.00941074]),
 'aggression': array([ 0.0105765 ,  0.00802606, -0.0126823 ,  0.02965646,  0.01395508]),
 'trolley': array([ 0.0031874 , -0.01931317,  0.00041489, -0.00834682,  0.00210908]),
 'buddy': array([-0.0061941 , -0.00082888, -0.00715164, -0.02102452, -0.00035138]),
 'electricity': array([ 0.01452821, -0.0014973 ,  0.00660797, -0.04586595,  0.00333969]),
 'swan': array([  7.42391013e-05,  -1.69103738e-02,   1.99572182e-02,
         -7.29964829e-03,   4.97955023e-03]),
 'bike': array([ 0.01136417, -0.02423405, -0.00587394, -0.00496747,  0.0175073 ]),
 'trousers': array([ 0.00990378,  0.00116978, -0.01539902,  0.01325333,  0.01353851]),
 'buyer': array([-0.01817824,  0.00666723,  0.02951363, -0.00792655,  0.01266451]),
 'teaching': array([-0.02019093,  0.00910189,  0.01842719, -0.00269178, -0.02058356]),
 'pride': array([-0.01276208,  0.00665014, -0.00126514,  0.01910494, -0.01144174]),
 'leash': array([ 0.02176135,  0.0195806 , -0.00211216,  0.00491266, -0.03011332]),
 'swivel': array([ 0.00683351,  0.00404556,  0.00742297,  0.01660122,  0.02983846]),
 'ceramic': array([ 0.00905339,  0.00335879, -0.01819723,  0.00708423,  0.00210859]),
 'cenotaph': array([-0.02281497, -0.017227  ,  0.00034783,  0.00169361,  0.00807305]),
 'risk': array([-0.00372075, -0.00975487,  0.00280008,  0.01203899, -0.02206097]),
 'marimba': array([-0.00681563, -0.01117505,  0.00908444,  0.01147752, -0.01280596]),
 'geology': array([-0.01547453,  0.00986585,  0.0115324 ,  0.0047451 ,  0.01301328]),
 'barium': array([ 0.00970112,  0.00946702,  0.01390074, -0.02022759,  0.0267612 ]),
 'fishbone': array([-0.01254892,  0.00858866,  0.00067224,  0.0014296 ,  0.01327158]),
 'blanket': array([-0.01553754, -0.00293301, -0.01838664,  0.00775684, -0.01431818]),
 'rise': array([-0.01133846,  0.01594285,  0.00800527, -0.02850181,  0.02422301]),
 'costume': array([ 0.00569543,  0.00227672, -0.02298271, -0.04479981, -0.02431238]),
 'vase': array([-0.01472154, -0.00992433,  0.01718848,  0.00967179,  0.00270589]),
 'replication': array([ 0.00887806,  0.00942832, -0.03283752, -0.01008383,  0.0176774 ]),
 'rawhide': array([ 0.02017505,  0.00759906, -0.01280493, -0.01955123, -0.01669726]),
 'affect': array([ 0.00118136, -0.01515244, -0.03132992, -0.01906686, -0.01333423]),
 'fireplace': array([ 0.02085118,  0.02733255, -0.01011956,  0.00877066, -0.01576459]),
 'vast': array([ 0.01788619, -0.00546118, -0.01365577,  0.00049868, -0.00883311]),
 'chapel': array([-0.00261022, -0.02244825,  0.00630656,  0.02074677,  0.01528777]),
 'school': array([-0.00249326, -0.01425882,  0.00083301, -0.00997153, -0.00649081]),
 'prize': array([ 0.00679893, -0.02880096, -0.00680975,  0.01075711, -0.00323748]),
 'broiler': array([-0.02032768,  0.00846885,  0.00495594,  0.00989964,  0.0104574 ]),
 'shoelace': array([ 0.00455271, -0.01181141,  0.00236533, -0.00721697, -0.00415851]),
 'cause': array([ 0.01825974,  0.02155879,  0.00487961,  0.00207155,  0.00021915]),
 'loneliness': array([-0.00420868, -0.01366656,  0.00962674,  0.01062549, -0.00221674]),
 'conspirator': array([-0.00223648,  0.01081903,  0.02430449, -0.01675602,  0.01265687]),
 'solution': array([-0.02599378,  0.00490275, -0.01274359, -0.0207257 ,  0.00710163]),
 'humidity': array([ 0.0192473 ,  0.01418748, -0.00265403,  0.0059466 , -0.00446672]),
 'samurai': array([ 0.02972846, -0.00382811, -0.02592617,  0.00956346,  0.00190224]),
 'cassock': array([ 0.03019475,  0.00747576, -0.00194697,  0.01304049,  0.00044853]),
 'crotch': array([ 0.01104565, -0.01561509, -0.05227416, -0.0186484 ,  0.00397685]),
 'barracks': array([ 0.00900373, -0.00199569, -0.00398569,  0.00314725,  0.0215746 ]),
 'clothes': array([-0.00967891,  0.015495  ,  0.01146885, -0.02036145,  0.02675654]),
 'paperback': array([-0.02732192,  0.01068251, -0.01356088, -0.02280007, -0.00797836]),
 'bicycle': array([-0.00976896, -0.0051715 ,  0.01948928,  0.0017809 , -0.01125004]),
 'daybed': array([-0.01145524,  0.00413922,  0.01819402,  0.01209726, -0.01174553]),
 'quilt': array([-0.02632672, -0.00189889,  0.01686761, -0.01981302,  0.01007637]),
 'infancy': array([ 0.00892366,  0.00290403,  0.00716226, -0.01768348,  0.01212107]),
 'radiosonde': array([ 0.03543685,  0.01313552,  0.00111256, -0.00956431, -0.01182475]),
 'panther': array([ 0.00394425,  0.01169691, -0.00492577, -0.02295585, -0.02899991]),
 'almond': array([ 0.01812743, -0.01130513, -0.02527903,  0.00339562, -0.00524188]),
 'bacon': array([ 0.00210573, -0.0112188 ,  0.00830907,  0.02083208, -0.01395033]),
 'scraper': array([ 0.00116173,  0.03427755, -0.01377308,  0.02915518,  0.00225628]),
 'horn': array([ 0.01115251,  0.01943069,  0.01150688,  0.0031391 , -0.01945005]),
 'chef': array([ 0.00995632,  0.03010666,  0.00077517, -0.02851733, -0.00739533]),
 'dish': array([ 0.00038331,  0.01652137, -0.00974056, -0.00058667,  0.01658965]),
 'second': array([-0.00132392,  0.01075446,  0.02186141,  0.01248661, -0.00758683]),
 'street': array([ 0.00522187,  0.02889658,  0.02496704, -0.02204798, -0.02430024]),
 'thrush': array([ 0.00138071,  0.01347396,  0.03602303,  0.01204587,  0.01020366]),
 'cactus': array([ 0.02667936, -0.02217589, -0.02116236,  0.01497592,  0.01126199]),
 'panda': array([ 0.02761314,  0.01015   , -0.00060918, -0.00639591,  0.02868373]),
 'quill': array([ 0.01045841, -0.00427577,  0.01063059, -0.0342711 ,  0.03190424]),
 'monster': array([ 0.01689097,  0.02064941, -0.00269894,  0.02037869, -0.00815131]),
 'blouse': array([-0.02820335,  0.01501973, -0.02384084, -0.01935809,  0.00154754]),
 'clarinet': array([-0.00609412, -0.00688916,  0.00718948,  0.01351637, -0.02617291]),
 'hide': array([-0.03586122, -0.00855978, -0.03035068, -0.01094993, -0.01331138]),
 'hate': array([ 0.00239099, -0.01891324, -0.02929135,  0.00143144, -0.01952454]),
 'cooking': array([-0.01074894, -0.0138634 ,  0.01859228,  0.01222375, -0.00399187]),
 'orchestra': array([ 0.02285035,  0.01067122, -0.00673746, -0.01747684,  0.02858808]),
 'revolver': array([ 0.03124778, -0.01027431, -0.03270915,  0.02147495, -0.00429446]),
 'poison': array([-0.00842897,  0.0088618 , -0.01418525, -0.02183462,  0.01497561]),
 'stepping-stone': array([ 0.0145004 , -0.00521303,  0.0202508 , -0.01816785,  0.00271806]),
 'pharmacopoeia': array([ 0.00086941,  0.00300638,  0.00379472,  0.01672299,  0.00398096]),
 'net': array([-0.01060506,  0.02208116,  0.00502752,  0.00234284, -0.0392119 ]),
 'leprosy': array([-0.00729386, -0.0318815 ,  0.00426645, -0.00619355, -0.01179243]),
 'specialist': array([ 0.008612  , -0.00320823,  0.02390159,  0.01021616, -0.00288012]),
 'niche': array([ 0.03100089, -0.00286631,  0.0119541 , -0.01252636,  0.00229609]),
 'barometer': array([ 0.02358591,  0.00703774, -0.013365  ,  0.00249838, -0.01327722]),
 'earmuffs': array([-0.00373404, -0.0247165 , -0.00326264, -0.0064536 , -0.01105731]),
 'herb': array([ 0.02281443, -0.02383179,  0.00444991, -0.0069185 ,  0.0194259 ]),
 'men': array([-0.00383856,  0.01817564, -0.00437057,  0.00035201, -0.01467436]),
 'dory': array([-0.0016217 , -0.01229304,  0.02342661,  0.00230417,  0.0163071 ]),
 'cuticle': array([-0.02570382,  0.00934493, -0.00612734, -0.00709381,  0.02099616]),
 'endothelium': array([-0.00637695, -0.01499301, -0.01623753, -0.05842007, -0.00895775]),
 'anthropology': array([-0.01972833,  0.00966894,  0.00110986,  0.01163115, -0.01885913]),
 'bookcase': array([ 0.00482069,  0.00319857, -0.00682423, -0.03862618, -0.02228793]),
 'studio': array([ 0.00202447, -0.00320834,  0.02261501,  0.00272267, -0.00699784]),
 'cart': array([-0.00404288,  0.02345497, -0.01160404, -0.01977651, -0.00896456]),
 'dogwood': array([ 0.00250424,  0.00282089,  0.0040552 ,  0.01249001, -0.00114469]),
 'miscarriage': array([ 0.02633837, -0.00261132, -0.02210865,  0.01801131, -0.0050296 ]),
 'aftermath': array([-0.00915404, -0.00766951, -0.0239293 , -0.03051582,  0.00952829]),
 'chino': array([-0.02403775,  0.00917141,  0.0172127 , -0.01001881,  0.01614756]),
 'cardboard': array([-0.00793909, -0.01216814, -0.00856879,  0.022645  , -0.00325888]),
 'celebration': array([-0.01658649,  0.0140891 , -0.00956305,  0.02136651, -0.01366037]),
 'dry': array([-0.00719115, -0.01842578, -0.00570095,  0.02161987, -0.01045621]),
 'voice': array([-0.00259075, -0.0073534 ,  0.01822372, -0.00968456,  0.01146581]),
 'daughter': array([-0.00939013, -0.01700154,  0.02894436, -0.00563911,  0.01964425]),
 'forum': array([-0.02796076,  0.01393893, -0.01971225, -0.01570015,  0.0210592 ]),
 'luggage': array([ 0.00084657, -0.01176365,  0.00221499,  0.01535074,  0.01123246]),
 'settler': array([-0.00737869,  0.00104103, -0.04648583,  0.00818726, -0.0129334 ]),
 'economics': array([-0.0083168 , -0.00093053, -0.04071509,  0.02227936, -0.00204423]),
 'guide': array([-0.00169699,  0.00261777,  0.00582076,  0.00514762, -0.01048117]),
 'credit': array([-0.01050034,  0.0070243 ,  0.02912858, -0.02712972,  0.02037681]),
 'heartwood': array([-0.01664589,  0.00083007, -0.01872623, -0.00468012, -0.01265814]),
 'smoke': array([-0.01238076,  0.02619497, -0.00658487, -0.01942098, -0.01645646]),
 'loincloth': array([ -1.53831507e-02,  -1.49281973e-05,   1.16000755e-02,
          1.21577808e-02,   9.64707042e-03]),
 'geese': array([ 0.00937689,  0.00312928, -0.03453209, -0.01011464,  0.006814  ]),
 'chateau': array([ 0.00773168, -0.00741547, -0.04377105, -0.00839759, -0.01017899]),
 'punishment': array([ 0.00800887,  0.00247538, -0.01421753,  0.01118711,  0.03590686]),
 'pendant': array([-0.00184362,  0.01707608, -0.0087764 ,  0.01217648, -0.00861994]),
 'criticism': array([ 0.01427001,  0.00465581, -0.00566191,  0.00551398,  0.01890117]),
 'divide': array([-0.01055815, -0.02277705, -0.00935869,  0.01007601, -0.02680247]),
 'campaign': array([ 0.00026717,  0.01554855,  0.00955659, -0.0144306 ,  0.01515655]),
 'atelier': array([ 0.00078416,  0.01173051, -0.0074361 , -0.00272752,  0.00942565]),
 'straw': array([ 0.03657096,  0.01707196, -0.01244652,  0.0025342 , -0.02476539]),
 'encirclement': array([ 0.01226869, -0.01895368,  0.00430271,  0.01054892,  0.02451282]),
 'godmother': array([  4.84613886e-03,   2.42906829e-02,   1.44668023e-06,
          1.23134514e-02,   3.96797620e-02]),
 'replace': array([ 0.00673346,  0.01655952,  0.00274145,  0.03086973, -0.00739756]),
 'county': array([-0.00326264,  0.00535718,  0.00817758,  0.01977017,  0.01677846]),
 'patience': array([ 0.01206925,  0.00535013, -0.0108729 ,  0.01189882,  0.0301379 ]),
 'pyramid': array([-0.00525298, -0.01624242,  0.01739402, -0.00547275, -0.01893098]),
 'soybean': array([-0.00400576, -0.02567166,  0.00140054, -0.01085565, -0.00058247]),
 'atrium': array([-0.00738085,  0.01006915,  0.01385012, -0.00153863,  0.01786979]),
 'total': array([ 0.00415258, -0.03369933, -0.00497299, -0.01208376, -0.00423677]),
 'handlebar': array([ 0.00555576,  0.00924244, -0.00610676, -0.00500705,  0.02104381]),
 'bra': array([ 0.01335175, -0.00017593,  0.01423377, -0.01494073,  0.00490035]),
 'plot': array([ 0.01817181, -0.0079143 , -0.03130676, -0.00050937, -0.00176133]),
 'plow': array([ 0.00848699, -0.00908476, -0.00668864, -0.01682549,  0.01613357]),
 'army': array([-0.00620077, -0.02014953,  0.00739096, -0.00060918, -0.00776496]),
 'alligator': array([ 0.02936311,  0.02544019, -0.00210871,  0.01652905, -0.02230383]),
 'hospital': array([ 0.00486036,  0.02596034, -0.01555543,  0.00690732,  0.03918606]),
 'negative': array([-0.0133861 , -0.02184575,  0.00793645,  0.00387945,  0.00342947]),
 'accommodation': array([-0.01747043,  0.01019221, -0.00268469,  0.0158399 ,  0.00307059]),
 'bayou': array([-0.00123241, -0.0052666 ,  0.01232706,  0.01436174,  0.00814633]),
 'edward': array([-0.00276766, -0.01524242,  0.0008159 , -0.01030395, -0.01576501]),
 'call': array([ 0.00814148, -0.01018068, -0.02271338, -0.00013852,  0.00945022]),
 'calm': array([ 0.03080021, -0.00357363,  0.01167024, -0.02020797,  0.02665304]),
 'spike': array([-0.00943676,  0.00337762, -0.00771775,  0.01676134,  0.00150023]),
 'strike': array([ 0.01382908, -0.00144201,  0.01181067,  0.0152152 ,  0.01751476]),
 'alpenglow': array([ 0.0076912 , -0.0045475 ,  0.01624929,  0.00515772, -0.01860339]),
 'care': array([-0.01931618,  0.00342357,  0.00587963, -0.00861752, -0.01598428]),
 'type': array([ 0.01136087,  0.01652375,  0.01586966, -0.00330894, -0.01746057]),
 'blueberry': array([ 0.00542132,  0.00167874,  0.02302852,  0.0150379 , -0.00435822]),
 'calf': array([-0.00320296,  0.01170358, -0.01375412,  0.01939715,  0.04661365]),
 'intervenor': array([ 0.00812012, -0.00413193, -0.00674937,  0.00820867,  0.00052619]),
 'infusion': array([-0.03020639, -0.00365766,  0.0065426 , -0.00886378,  0.01865632]),
 'award': array([-0.00210682, -0.01029329,  0.01989061,  0.01268675, -0.00433832]),
 'hurt': array([-0.01462348,  0.01510855, -0.00656975, -0.00333814,  0.00156505]),
 'grief': array([ 0.00089332, -0.01718305,  0.01976594,  0.01307971,  0.01298011]),
 'glass': array([ 0.00826587,  0.01888376,  0.03518058,  0.01242676,  0.00020164]),
 'interaction': array([ 0.01209641,  0.02444146, -0.01307765,  0.01739638,  0.0072173 ]),
 'adult': array([ 0.03224003,  0.00465287, -0.01858535,  0.00023603, -0.00281109]),
 'hole': array([-0.00847752,  0.01689931, -0.00670374, -0.00918311, -0.01042801]),
 'hold': array([-0.00655994, -0.02160879,  0.01005345,  0.00175067,  0.00702389]),
 'pouch': array([ 0.02334349, -0.00409763, -0.00093786,  0.01438208, -0.00170411]),
 'shoot': array([ 0.03833009, -0.01222285,  0.00643041, -0.04584913,  0.00967303]),
 'hutch': array([-0.0121511 ,  0.00128717, -0.0031108 , -0.00173207, -0.02497333]),
 'join': array([-0.0064398 ,  0.00947312, -0.01063092,  0.00486018, -0.00734124]),
 'room': array([-0.02743639, -0.01849381,  0.00222825, -0.0484365 ,  0.00096733]),
 'shame': array([-0.04017977,  0.00201846, -0.02421542, -0.00787506, -0.00659529]),
 'candelabra': array([ 0.0039463 , -0.00628149,  0.02869478, -0.00197743, -0.01361626]),
 'blade': array([-0.02383658,  0.00372046,  0.02050836, -0.01829775,  0.00352578]),
 'laparoscope': array([-0.01785316, -0.01143713, -0.0158009 , -0.01550913, -0.02856125]),
 'roof': array([-0.00145962, -0.01898829, -0.00568768, -0.00729811, -0.00627075]),
 'locker': array([ 0.02434961, -0.00304263, -0.02911336,  0.01815806, -0.01106597]),
 'bungalow': array([ 0.01283441, -0.00702962,  0.00373091, -0.00220134,  0.02397392]),
 'locket': array([ 0.00887032, -0.03183703, -0.00629671,  0.00606086,  0.01739479]),
 'era': array([-0.00018641, -0.0084247 ,  0.0146475 ,  0.01178076, -0.00609794]),
 'mechanic': array([-0.01107614, -0.01076555,  0.01428292,  0.01202873, -0.00580404]),
 'musculature': array([-0.01145511,  0.00398001,  0.01102875, -0.00630015, -0.02548347]),
 'elbow': array([ 0.00795412, -0.01787244,  0.01462769, -0.00388842,  0.02292276]),
 'crackers': array([-0.00368496,  0.00018796,  0.01220725,  0.01289735, -0.00500122]),
 'root': array([ 0.00320203,  0.00930594,  0.01837997, -0.02501727,  0.00540467]),
 'example': array([ 0.00196527,  0.00178156, -0.03234474, -0.00718195,  0.01222377]),
 'fortress': array([ 0.03371217,  0.00585718, -0.01384975, -0.02070168, -0.01342946]),
 'pinecone': array([-0.01403415, -0.03348037,  0.00302383,  0.00783818, -0.00966661]),
 'inscription': array([-0.00375776, -0.02490289,  0.00154015,  0.01818907,  0.00059326]),
 'blight': array([-0.00787196,  0.02866208, -0.00519459,  0.01905826,  0.00045118]),
 'quiver': array([ 0.01992171,  0.01869164,  0.01376317,  0.00399977, -0.01493381]),
 'estate': array([-0.0049427 ,  0.00582397,  0.00448104, -0.00480831,  0.01455683]),
 'give': array([-0.00949159, -0.02227816,  0.01848399, -0.00812846,  0.0163014 ]),
 'credenza': array([-0.01165149,  0.02495198,  0.01318534,  0.02561756,  0.01627699]),
 'dolphin': array([ 0.00547496,  0.00809508,  0.02194826, -0.01235203,  0.00483889]),
 'tub': array([-0.00455402, -0.02553067,  0.01712254,  0.01181504,  0.0111703 ]),
 'husband': array([ 0.01574714,  0.02113553, -0.01192767,  0.01225902,  0.00143922]),
 'honey': array([-0.0124453 ,  0.01007994,  0.00329721,  0.00123653,  0.0102758 ]),
 'currency': array([ 0.01505062, -0.00379722,  0.0028529 , -0.00065291,  0.01424856]),
 'caution': array([ 0.02230714,  0.01303832,  0.01054168,  0.0211951 , -0.02906121]),
 'squatter': array([-0.00387661,  0.00389459,  0.01184659,  0.01116735,  0.01091175]),
 'rayon': array([ 0.01128072, -0.01138056, -0.00864581,  0.01506828, -0.00409895]),
 'pinto': array([ 0.0048942 , -0.00536499,  0.02814257,  0.02423527,  0.00709557]),
 'guarantee': array([ 0.0092091 ,  0.00567839, -0.00044745,  0.00614782,  0.00460701]),
 'hog': array([ 0.00209058,  0.02061204, -0.00950915,  0.01572273,  0.04050399]),
 'hoe': array([-0.01755523,  0.01115821,  0.00082146, -0.00176001, -0.02071721]),
 'end': array([ 0.01359409,  0.02059618, -0.00829154,  0.0063793 ,  0.03930313]),
 'dryer': array([ 0.02023021, -0.00759804, -0.0093376 , -0.00619401,  0.01749923]),
 'thing': array([-0.01615993,  0.01073232, -0.00272483, -0.0129992 ,  0.01675676]),
 'dimple': array([-0.00829455, -0.01098603, -0.00539941, -0.0108518 , -0.01329692]),
 'travel': array([ 0.00080866, -0.00800402,  0.01127155,  0.00155162, -0.00263864]),
 'vagrant': array([ 0.02185527,  0.02369803,  0.00848247,  0.0276361 , -0.0135495 ]),
 'damage': array([ 0.00905757,  0.02203616,  0.00651612, -0.01471225, -0.02610561]),
 'panpipe': array([-0.00929363,  0.02109334,  0.00255559, -0.00100572, -0.02410023]),
 'machine': array([ 0.00986784, -0.0056561 ,  0.01072641,  0.02218029, -0.01319492]),
 'compassion': array([ 0.02186775,  0.01489465,  0.03229586,  0.00561274, -0.01491869]),
 'hot': array([ 0.00570239, -0.00065741,  0.01239886, -0.01916113, -0.0114832 ]),
 'drummer': array([ 0.01056227, -0.01550131,  0.01600691, -0.00480533,  0.01099796]),
 'patrimony': array([ 0.02551556,  0.00182257, -0.0255683 , -0.00155454,  0.00114968]),
 'significance': array([-0.00418572,  0.00681125,  0.00248679,  0.00407588, -0.01634798]),
 'answer': array([-0.01060068, -0.01719059, -0.00997035, -0.02047241,  0.00383998]),
 'cheetah': array([-0.00073848,  0.02138766, -0.01399913,  0.01164956,  0.00220589]),
 'ordinary': array([-0.02800373,  0.00091349, -0.00917402, -0.02562371, -0.01832151]),
 'beach': array([-0.00537474,  0.01128168, -0.00406168, -0.01307381,  0.00053625]),
 'applewood': array([ 0.02532758,  0.02062373,  0.00263774,  0.00429246, -0.02611078]),
 'pizza': array([-0.01277973, -0.01061452,  0.00180159, -0.0057977 ,  0.0199912 ]),
 'bonsai': array([ 0.01339976, -0.00364944, -0.01208115,  0.00346338,  0.01557299]),
 'lan': array([-0.00337107, -0.01497083, -0.00301483, -0.00425799,  0.00392199]),
 'description': array([ 0.00454062,  0.00611117,  0.00605729, -0.0271525 , -0.00124698]),
 'beauty': array([-0.02314146,  0.01095089, -0.0220659 , -0.02180914,  0.0102902 ]),
 'mess': array([-0.03049305,  0.00743688, -0.02927828, -0.01879604,  0.00833286]),
 'ladder': array([ 0.02189423, -0.0181255 ,  0.01256881, -0.02498581,  0.01819206]),
 'signup': array([-0.03692563,  0.00858068, -0.00381232, -0.02962619,  0.01117725]),
 'abdomen': array([ 0.01707374,  0.01343635,  0.03188139, -0.03051621,  0.00304108]),
 'lab': array([-0.00502282, -0.02900505,  0.01294285,  0.02102265, -0.01242792]),
 'detention': array([-0.00422675,  0.01501735,  0.00327588,  0.01017506, -0.01123571]),
 'millimeter': array([ 0.0035765 ,  0.02867937,  0.00309646, -0.00508374, -0.01579459]),
 'lay': array([-0.00814692,  0.01970672,  0.0164206 , -0.01040847, -0.00181344]),
 'misfit': array([-0.00340149,  0.0049019 ,  0.03050452, -0.00703802,  0.00536608]),
 'president': array([ 0.02841025,  0.01315605,  0.01603618,  0.00876949, -0.02582641]),
 'law': array([-0.01966   ,  0.01918953, -0.0170133 , -0.01056759, -0.01114294]),
 'arch': array([ 0.00721881, -0.0244943 , -0.01052868, -0.0091368 ,  0.00845117]),
 'shirt': array([-0.02574371,  0.00612677, -0.02223414, -0.01211845,  0.01612967]),
 'plier': array([ 0.00153976, -0.00885692,  0.00143196,  0.01373155,  0.01264955]),
 'attempt': array([ 0.00441063,  0.0113746 ,  0.01547266, -0.0020431 , -0.0014274 ]),
 'effective': array([-0.03390741,  0.01320549, -0.01806253, -0.02726879,  0.01612564]),
 'casement': array([ 0.0113573 , -0.00329292, -0.0016701 ,  0.00930944,  0.00846255]),
 'croissant': array([ 0.02266015,  0.03113855,  0.00437725,  0.0199692 , -0.0233669 ]),
 'dictaphone': array([-0.01526789,  0.00096913,  0.01919887,  0.00138119,  0.00644224]),
 'baggage': array([ 0.00578498, -0.00617649, -0.01704159,  0.01844534,  0.01977005]),
 'green': array([ 0.00641209,  0.03073578,  0.03703571, -0.01957043, -0.02004379]),
 'shoehorn': array([ 0.01257499,  0.00132958,  0.02274931, -0.00617811,  0.00944697]),
 'goodbye': array([-0.02535625, -0.02410671, -0.00088282, -0.00643132,  0.01211706]),
 'ambulance': array([-0.00408141, -0.02294472,  0.00580272, -0.00326986, -0.00634859]),
 'ethernet': array([ 0.00173526, -0.01174979, -0.00786005,  0.01629507,  0.00161366]),
 'plasterboard': array([-0.00323429,  0.00473458, -0.00155594,  0.02283541, -0.00680163]),
 'order': array([ 0.02311155, -0.00410938, -0.00736327, -0.00191964, -0.0140507 ]),
 'backdrop': array([-0.00620641,  0.02236212, -0.0083153 ,  0.02254047,  0.03973967]),
 'apse': array([-0.00515506,  0.00464799,  0.00826676,  0.00134623, -0.01879934]),
 'emotion': array([ 0.00937356,  0.00329856,  0.01954962, -0.00086395, -0.01635531]),
 'salon': array([-0.01052367,  0.01307654, -0.02892678,  0.00244213,  0.01505577]),
 'feedback': array([-0.00406375, -0.02494264,  0.00369948,  0.01389442, -0.01697211]),
 'office': array([-0.00321012,  0.00344385,  0.01260959,  0.00929329, -0.01223075]),
 'deck': array([ 0.02130874, -0.00442245,  0.00616163, -0.00180786,  0.01560578]),
 'consent': array([ 0.01224124,  0.03135169, -0.00987415, -0.00305322,  0.00519759]),
 'bricklaying': array([-0.01548436, -0.00583267, -0.00499128,  0.0131254 , -0.01268258]),
 'fall': array([-0.01267419, -0.00411485, -0.00393429, -0.005195  , -0.03408755]),
 'presence': array([-0.00685391, -0.00379208,  0.01012686,  0.01202887, -0.00740136]),
 'clave': array([-0.00442369, -0.03130278,  0.00032206, -0.00342196, -0.01713773]),
 'oven': array([-0.01538681, -0.00016199,  0.01815681,  0.00208878, -0.01306729]),
 'keyboard': array([-0.00574514, -0.00723591,  0.02181194,  0.0159815 , -0.00641589]),
 'saving': array([-0.01107602, -0.02612701,  0.00512251, -0.0121601 , -0.01453691]),
 'mayor': array([-0.00894936,  0.00403277, -0.01636177, -0.02193946,  0.00792621]),
 'fir': array([-0.0111316 , -0.02924655,  0.00547036, -0.00692287,  0.01791503]),
 'facsimile': array([  4.25860514e-03,  -2.48033917e-03,   1.10321101e-02,
          1.17814236e-02,  -7.77970050e-05]),
 'gallon': array([-0.01140777, -0.00952668,  0.01979007,  0.0184817 , -0.02081741]),
 'destroyer': array([ 0.00117446, -0.01925852, -0.01000643,  0.00566995, -0.00068365]),
 'harmonica': array([ 0.01058401,  0.01863049,  0.03492565, -0.00113136, -0.01256907]),
 'personal': array([-0.01789625, -0.00039026,  0.01891855, -0.00743693,  0.01364517]),
 'backpack': array([-0.00440628, -0.00832769,  0.00082948, -0.00598891, -0.00924539]),
 'gutter': array([-0.00747842,  0.01271607,  0.01541566,  0.01999322,  0.02672997]),
 'crew': array([ 0.01891217, -0.0036623 , -0.02880351,  0.01352577, -0.00383683]),
 'plantation': array([ 0.00673733,  0.00804016,  0.0313334 , -0.01259844,  0.01608928]),
 'tramp': array([ 0.01902658,  0.00255137, -0.02449553,  0.00598369, -0.00106186]),
 'production': array([-0.00011603,  0.00572059,  0.01634114, -0.01535649,  0.01044226]),
 'acupuncture': array([-0.01100487, -0.00920394,  0.00263706, -0.01010389, -0.032522  ]),
 'belly': array([-0.00394899, -0.01846168,  0.01307966,  0.01593925, -0.01040173]),
 'coffee': array([ 0.00706935,  0.01349764,  0.00663481,  0.01674927, -0.01548771]),
 'tourist': array([-0.01198761, -0.02777462, -0.00520008,  0.00258029, -0.00542345]),
 'combination': array([ 0.0098057 , -0.01116692, -0.00496869,  0.01304557,  0.00645543]),
 'plaster': array([-0.01224249,  0.03807272,  0.00939229, -0.01159567, -0.02935391]),
 'safe': array([-0.00109472, -0.00222945,  0.01344637,  0.02245316, -0.0225369 ]),
 'lasagna': array([ 0.01141135,  0.00280996, -0.01953168,  0.01013645, -0.00294097]),
 'break': array([ 0.00546577, -0.01901518,  0.00143628, -0.00077113,  0.00456244]),
 'band': array([ 0.01818383,  0.00347106,  0.00852703, -0.00783705,  0.00529721]),
 'caterpillar': array([ 0.01760342, -0.01128645,  0.02119236,  0.02258419,  0.00147938]),
 'giraffe': array([-0.00496993, -0.02649383,  0.0066319 , -0.01222242, -0.00068148]),
 'manicure': array([-0.05113889,  0.01921581, -0.00482881, -0.00022836,  0.00976217]),
 'silver': array([ 0.02960594, -0.01762407, -0.03536267, -0.01125363, -0.02175425]),
 'bank': array([ 0.02417474,  0.01018527,  0.00340131, -0.01619398, -0.01576036]),
 'bread': array([-0.00097139, -0.00583817, -0.00019511, -0.0056712 , -0.01211245]),
 'honeybee': array([ 0.00854704, -0.00503914,  0.01865793,  0.005494  , -0.00026388]),
 'grammar': array([-0.01707012,  0.00588592, -0.00942678, -0.02570484, -0.03635422]),
 'meat': array([-0.0066715 , -0.01441048, -0.00130411, -0.00216042, -0.007089  ]),
 'oxygen': array([ 0.00095337,  0.02532994,  0.00436118,  0.00023416,  0.02093605]),
 'inventory': array([-0.00379332,  0.00380847, -0.0113455 ,  0.00503971,  0.01320045]),
 'lotion': array([-0.01008265,  0.00728491, -0.01417097, -0.01765003,  0.01582357]),
 'disconnection': array([-0.00802589, -0.01563834,  0.01650158, -0.00195922, -0.00669623]),
 'congo': array([-0.00293595,  0.01579833, -0.00088624,  0.01117345, -0.01816162]),
 'arrow': array([-0.00439549, -0.02580891,  0.00073113, -0.00563384, -0.02115037]),
 'volcano': array([-0.00085559,  0.01966798, -0.00901002,  0.02045499,  0.04529855]),
 'clavicle': array([-0.01118744,  0.00260148, -0.00635193, -0.00780514, -0.02036023]),
 'bone': array([-0.01489457, -0.01158348, -0.00792629, -0.01333952, -0.004707  ]),
 'luck': array([ 0.01877265,  0.011345  ,  0.01234595, -0.00450697,  0.01062544]),
 'garment': array([ 0.00559111, -0.01208588,  0.00187608,  0.01131466, -0.00196547]),
 'cadet': array([-0.0271918 ,  0.00509915,  0.01557334, -0.02871112,  0.01329808]),
 'cappelletti': array([-0.00691632,  0.01328357,  0.00819795,  0.00548582, -0.02361356]),
 'spider': array([ 0.02211424, -0.0152038 , -0.00675059, -0.02741816, -0.00973871]),
 'sled': array([ 0.033432  , -0.00942397,  0.00489135, -0.00218153, -0.0016517 ]),
 'crocus': array([ 0.01336571,  0.00359529,  0.01817826, -0.00652155,  0.00488652]),
 'croup': array([ 0.00437133, -0.0262996 , -0.01438947,  0.01585444, -0.00637168]),
 'gearshift': array([ 0.00045994,  0.0001027 , -0.00025993,  0.02287606,  0.03492042]),
 'attenuation': array([ 0.02369799,  0.00051101,  0.00469917,  0.00213636,  0.00867552]),
 'turnip': array([-0.00784703, -0.02453805,  0.00728116,  0.0219977 , -0.01355966]),
 'fortnight': array([ 0.00637918,  0.00038911, -0.00336737,  0.00995485,  0.02321606]),
 'cathedral': array([ 0.02689277, -0.00308129,  0.01074556, -0.02128156,  0.0198848 ]),
 'flock': array([-0.00293043,  0.0025489 , -0.01984973,  0.01891316,  0.00101374]),
 'poncho': array([ 0.02060571,  0.01993012,  0.00043107,  0.01400003, -0.02074304]),
 'message': array([-0.00830564, -0.01534966,  0.00789622,  0.01266138, -0.02775574]),
 'hostel': array([ 0.00034465, -0.00962445,  0.0009384 ,  0.00058534, -0.02122511]),
 'velvet': array([ 0.01098888,  0.01582097,  0.01314501, -0.00112644,  0.03467765]),
 'diction': array([ 0.00444027,  0.01894695, -0.0003763 ,  0.01572794, -0.0062441 ]),
 'driving': array([ 0.00395122,  0.03567476, -0.00083109,  0.00310982, -0.00251466]),
 'god': array([ 0.01456677, -0.03630609, -0.00160969,  0.00650809,  0.00499059]),
 'motel': array([ 0.0037856 ,  0.00263113, -0.02992798, -0.00745077,  0.00064742]),
 'dime': array([-0.02278175,  0.01244971, -0.0049834 ,  0.01168332,  0.00847752]),
 'ry': array([-0.00189174, -0.03271655, -0.0061289 , -0.00309684,  0.01168083]),
 'george': array([-0.01295134,  0.006728  ,  0.01043564, -0.00781463, -0.04278282]),
 'content': array([-0.01478247, -0.01329632, -0.00522224,  0.01271564, -0.00931549]),
 'method': array([ 0.02712129,  0.00361422,  0.013525  , -0.02095081,  0.02670709]),
 'daniel': array([ 0.00831501, -0.02175407, -0.00979327,  0.00568807,  0.0011472 ]),
 'millennium': array([ 0.0112871 , -0.01505274, -0.01244987,  0.00151935,  0.02420547]),
 'medicine': array([-0.01693371,  0.02243756, -0.00981415,  0.00621318,  0.01841223]),
 'surprise': array([ 0.02131427, -0.0063237 , -0.03237899,  0.01124554, -0.00846927]),
 'washer': array([-0.00802602,  0.01562948, -0.0023203 ,  0.01185808,  0.01278834]),
 'engineer': array([-0.00277327,  0.00977675,  0.00347725, -0.01179914, -0.02317328]),
 'sampan': array([-0.01009774, -0.00410534, -0.00163327,  0.0237391 , -0.00059251]),
 'independence': array([ 0.03082056,  0.00828608, -0.00567664,  0.00820834, -0.01069374]),
 'foundation': array([-0.00299499, -0.00331996, -0.02951264, -0.00346195, -0.01335069]),
 'grease': array([-0.01622372,  0.0179869 , -0.00482043,  0.01273543,  0.00536861]),
 'associate': array([ 0.01649012,  0.00231766,  0.02014546, -0.01928647,  0.00054768]),
 'hang': array([-0.01293342,  0.00575384,  0.00960515, -0.02167976, -0.02604917]),
 'negligee': array([-0.0176825 ,  0.02087557, -0.01241517,  0.01932473, -0.0185755 ]),
 'revenge': array([-0.00367301, -0.01955375,  0.00735014,  0.01106273, -0.01027645]),
 'standard': array([-0.02779154,  0.00252457, -0.01123435, -0.04935432,  0.00592058]),
 'ecliptic': array([ 0.00302441, -0.03298768, -0.00574932, -0.00080366,  0.00030754]),
 'management': array([ 0.00093542, -0.0134033 ,  0.00753242, -0.00604762, -0.00325578]),
 'rain': array([-0.01077783,  0.01708288, -0.01149627,  0.01164995, -0.00332287]),
 'poppy': array([-0.01617603,  0.01473462,  0.02645536, -0.02494829, -0.00585269]),
 'estimate': array([-0.00656289, -0.00475649,  0.00915378,  0.01200503,  0.01827899]),
 'cornerstone': array([-0.00231254, -0.01689024, -0.01690007,  0.01784119, -0.00670566]),
 'laborer': array([ 0.01374579, -0.01763842, -0.00912256, -0.03806162, -0.00253786]),
 'maniac': array([-0.00192555,  0.01104088, -0.01489479,  0.01918012,  0.01188183]),
 'lout': array([-0.03029505,  0.0016939 , -0.02604834, -0.00206675,  0.00808926]),
 'chainstay': array([-0.00320697, -0.02276104,  0.00433181,  0.0073851 , -0.01469586]),
 'alcohol': array([-0.01371489, -0.0085968 ,  0.01244039,  0.00318126,  0.00670258]),
 'fleck': array([-0.01111213, -0.00133794,  0.00425709, -0.00955371, -0.00443887]),
 'soda': array([ 0.00195935,  0.0266323 ,  0.00875143, -0.04528728, -0.01160252]),
 'methane': array([-0.00173297, -0.0268021 ,  0.00119982,  0.01298944, -0.00654395]),
 'purpose': array([  3.76201238e-05,  -2.31853399e-02,   1.17944494e-02,
         -6.49779736e-04,   9.16414923e-03]),
 'shopper': array([ 0.0143311 ,  0.03326167, -0.0054339 ,  0.00870074, -0.01446555]),
 'gazelle': array([-0.01576245,  0.01235362, -0.01061952,  0.01995665, -0.01768397]),
 'grade': array([ 0.0097214 , -0.00079132, -0.00752787, -0.01323903,  0.00385447]),
 'wasp': array([ 0.01480816,  0.01159718, -0.01658085,  0.00756248,  0.03488759]),
 'birch': array([ 0.00079833, -0.02059981,  0.00639116, -0.01313846,  0.0035589 ]),
 'primary': array([ 0.02023302,  0.02883566,  0.01374126,  0.01014025, -0.00525204]),
 'rank': array([-0.00145422, -0.00703366,  0.00920757, -0.0055974 ,  0.00239546]),
 'hearing': array([ 0.01071483,  0.00899896, -0.0018472 , -0.00314397,  0.02171987]),
 'hook': array([-0.01009314, -0.01196854,  0.00257018,  0.0020126 , -0.00833052]),
 'insulation': array([-0.00613054,  0.01769577,  0.00086607,  0.01545484, -0.01643374]),
 'scissors': array([ 0.04610896,  0.01391282, -0.00132259, -0.00319237,  0.00132282]),
 'comic': array([ 0.01746378,  0.01091765,  0.01435093,  0.00565735, -0.00885818]),
 'hoof': array([-0.01204072,  0.00718595, -0.02529106, -0.02640027,  0.00329161]),
 'hood': array([ 0.00632061,  0.02621754, -0.00027975,  0.02618926,  0.02525798]),
 'mercury': array([ 0.00092922,  0.01050817,  0.01321941,  0.01436598,  0.01046121]),
 'fahrenheit': array([ 0.03893561,  0.00392959,  0.00203169, -0.01234206,  0.02845041]),
 'equinox': array([ 0.02474317,  0.01549206,  0.01634692,  0.00334598, -0.01374031]),
 'basketball': array([  1.83346358e-02,   1.40188283e-02,  -8.07533240e-03,
          7.97174555e-05,   3.13225306e-02]),
 'hydrant': array([-0.0060037 , -0.02056066,  0.01336489,  0.02426744, -0.01029229]),
 'service': array([ 0.00271578, -0.00567758, -0.00312176,  0.00952966, -0.00476313]),
 'spinach': array([ 0.02128673,  0.02388889,  0.0015545 , -0.00736489, -0.02108993]),
 'calcification': array([-0.05264358,  0.02461183, -0.02104793,  0.00775292,  0.00205462]),
 'top': array([ 0.0136184 , -0.01106661,  0.01251404, -0.00156818,  0.0177129 ]),
 'elevator': array([  1.70864880e-05,  -3.41685923e-03,   6.45152244e-03,
         -1.81209827e-02,   1.00948987e-02]),
 'fiction': array([-0.00957319, -0.01114379,  0.01225451, -0.00025405,  0.01506945]),
 'watchmaker': array([-0.00752734, -0.01428042,  0.00528389,  0.00172062, -0.01039529]),
 'master': array([ 0.02736399, -0.01132729, -0.02416139,  0.01867768, -0.01115407]),
 'tom': array([-0.00447809, -0.01909458,  0.0184783 ,  0.00729526,  0.00563423]),
 'hardboard': array([  7.25974583e-03,   2.31322773e-02,  -3.08895786e-03,
         -1.16336396e-02,   7.11446507e-05]),
 'analgesia': array([ 0.00610872,  0.00014954, -0.00507555, -0.06721625, -0.01810205]),
 'kid': array([ 0.03132248,  0.01838008, -0.01016687, -0.00610279, -0.02014742]),
 'bitter': array([  9.57048011e-03,  -2.31001358e-02,   6.96566133e-05,
         -5.31952708e-03,   1.41362964e-03]),
 'listen': array([-0.01866312,  0.01397612, -0.00350681,  0.01370808,  0.00263478]),
 'reparation': array([-0.01072363, -0.02191655,  0.00138447,  0.0038251 ,  0.00918324]),
 'ceiling': array([-0.00741649, -0.00361768, -0.00140099, -0.00104206, -0.0119936 ]),
 'intestine': array([-0.01297858, -0.01367427, -0.00111168, -0.00149311, -0.01287884]),
 'gym': array([-0.01325595,  0.01287665,  0.00156251, -0.0224536 , -0.00317711]),
 'serve': array([ 0.00956229,  0.00788414, -0.0121692 ,  0.02412015,  0.00919645]),
 'tassel': array([-0.00068589, -0.00761713, -0.00612291,  0.0050408 , -0.02562982]),
 'toot': array([-0.01729371,  0.02370894, -0.01650982,  0.00752174,  0.01758091]),
 'task': array([-0.02184568,  0.01930845, -0.01478477,  0.00612119,  0.0048977 ]),
 'cereal': array([-0.02726756,  0.0021905 , -0.02975897,  0.00380712,  0.01234636]),
 'helen': array([-0.00390565, -0.0061844 ,  0.00394312,  0.00851573, -0.00631028]),
 'stocking': array([-0.0036956 , -0.00929495,  0.01382128,  0.00834312, -0.00427154]),
 'distance': array([ 0.00619979,  0.00454261, -0.04772312, -0.00338853, -0.0060963 ]),
 'minibus': array([-0.00732464, -0.01576636,  0.00299326,  0.00447429, -0.01651374]),
 'anxiety': array([ -1.29390099e-02,   7.21053881e-03,   6.74399186e-03,
         -5.67269611e-05,  -3.29106991e-02]),
 'outlay': array([-0.01106441, -0.0098421 ,  0.00886944,  0.00252749,  0.01407522]),
 'target': array([ 0.00082875, -0.00316925, -0.04428274,  0.00162059,  0.00263253]),
 'icicle': array([ 0.0175458 , -0.00084202,  0.01055158, -0.02132432, -0.00182739]),
 'tavern': array([ 0.00665164,  0.01402667,  0.0013539 ,  0.00306901, -0.00401431]),
 'meteorology': array([-0.0157326 , -0.0168847 ,  0.00278177,  0.00604707, -0.00536614]),
 'tree': array([-0.01789125, -0.00599337,  0.01536573, -0.0520703 , -0.00295585]),
 'final': array([ 0.00345134,  0.01786853,  0.02110057, -0.01950308,  0.01948665]),
 'preparation': array([ 0.01444059, -0.02331386,  0.00115869,  0.00355243,  0.0313807 ]),
 'matter': array([-0.02524193,  0.00187211,  0.0262252 ,  0.00105543,  0.00145863]),
 'step-father': array([-0.03205489,  0.00702556, -0.02177515, -0.0371005 , -0.03053502]),
 'bloomers': array([-0.02911868,  0.01799121, -0.00115149,  0.00371714,  0.01510557]),
 'guilt': array([-0.00607577, -0.0065491 ,  0.01235874,  0.01097373, -0.00696094]),
 'iron': array([ 0.02376173,  0.02074237, -0.0064831 ,  0.00230651, -0.00536037]),
 'feeling': array([-0.00818353, -0.01186167,  0.004754  , -0.00777971, -0.02171025]),
 'countess': array([-0.00062116, -0.0094925 , -0.00718799,  0.02707499,  0.00653841]),
 'bridge': array([ 0.00312291, -0.00090694, -0.00261929, -0.01496678,  0.00797279]),
 'donkey': array([-0.00215376, -0.03152471, -0.00377314, -0.0009945 , -0.00865644]),
 'bronchitis': array([ 0.01965656,  0.00984365, -0.00870187, -0.00206265,  0.00915829]),
 'runner': array([-0.00814781, -0.00704337,  0.00303135, -0.01582056, -0.0060034 ]),
 'jodhpurs': array([-0.00193092,  0.00319843, -0.00361928,  0.01244178, -0.01764427]),
 'ruckus': array([-0.01150925, -0.02962989,  0.00089212,  0.00136287,  0.00188738]),
 'mind': array([-0.01528718, -0.00495622,  0.00479197,  0.00574541,  0.00334085]),
 'mine': array([-0.00664824,  0.00067088,  0.01339905,  0.00453278,  0.00048699]),
 'raw': array([-0.00758673,  0.01308981,  0.01563633,  0.01521524, -0.00847441]),
 'rat': array([ -1.35235476e-02,   1.57268037e-02,  -1.10480090e-02,
         -1.10855467e-02,   5.67592587e-06]),
 'seed': array([-0.01341337,  0.00319549, -0.01693465, -0.02074884,  0.01816657]),
 'peacoat': array([ 0.00798076, -0.01270514, -0.01949439, -0.00848745,  0.03617318]),
 'manner': array([-0.01266368, -0.00715463,  0.02546603, -0.01028306,  0.01459955]),
 'stomach': array([-0.00786565, -0.01436542,  0.00529433, -0.00760059,  0.01559878]),
 'churn': array([ 0.0185101 , -0.00729131,  0.01823109, -0.02449328,  0.00189136]),
 'mint': array([-0.01091439, -0.01491534,  0.01753768,  0.01673429, -0.00805835]),
 'spade': array([ 0.003233  , -0.01104399, -0.00799601,  0.00505262, -0.00851765]),
 'ray': array([-0.00766649, -0.02765081, -0.00639264, -0.02050417,  0.00860188]),
 'latency': array([-0.00740133, -0.02019153,  0.00275817,  0.01639575, -0.00896335]),
 'strength': array([ 0.02603027, -0.00176534, -0.01280084,  0.00029626, -0.01241986]),
 'alibi': array([-0.0356192 ,  0.01418024, -0.02555945,  0.00168112,  0.00959259]),
 'concrete': array([-0.00395498, -0.00129895,  0.01752863,  0.00377039, -0.01543795]),
 'cope': array([-0.00704042, -0.00959859, -0.01311191, -0.00674128, -0.00750545]),
 'belfry': array([ 0.00064927, -0.00762765,  0.01603117,  0.00168536,  0.001861  ]),
 'snow': array([-0.00926979,  0.02292866,  0.00232345,  0.02777001,  0.02193018]),
 'bengal': array([-0.00892434,  0.01271232,  0.00862725,  0.00010551,  0.02459698]),
 'chest': array([ 0.00325444,  0.00299626,  0.01153675,  0.0005532 ,  0.0104323 ]),
 'contact': array([ 0.01414349, -0.00931515,  0.0062623 ,  0.01016531,  0.0013035 ]),
 'pinafore': array([-0.0061344 , -0.00338711, -0.0068908 ,  0.0188709 , -0.0177514 ]),
 'chess': array([-0.0271389 ,  0.00712066, -0.02412494, -0.00314669,  0.01003916]),
 'snob': array([-0.00490253, -0.00224415, -0.00587634, -0.01280762, -0.00386222]),
 'pilgrimage': array([ 0.00044744,  0.01111482,  0.01472831, -0.02384852, -0.01084586]),
 'panties': array([ 0.00176574,  0.00138532,  0.01738373, -0.00205738,  0.00760464]),
 'rider': array([  8.56032318e-05,   2.35212988e-02,   4.43679307e-03,
          1.39819527e-02,   3.61442315e-02]),
 'astrakhan': array([ 0.01147702,  0.00033672,  0.02055064,  0.009586  , -0.00207247]),
 'blue': array([ 0.02947683,  0.01245447,  0.00462494, -0.00271747, -0.02261386]),
 'thumb': array([-0.01600988,  0.01234043, -0.0168841 ,  0.00280697,  0.0081897 ]),
 'maiden': array([-0.00462241,  0.01092634,  0.00069087, -0.01016964, -0.01761472]),
 'garter': array([-0.01189077, -0.03090252, -0.00746887, -0.01217574,  0.00079122]),
 'object': array([ 0.0074841 ,  0.02803498, -0.00288406,  0.00794584,  0.03875908]),
 'anatomy': array([-0.00582227,  0.00580581, -0.03175954, -0.01901132,  0.00837981]),
 'regular': array([ 0.01264569,  0.02388121,  0.01033553, -0.00139434,  0.03599183]),
 'mouth': array([ 0.02875255,  0.02106008, -0.00382099,  0.00844091, -0.01289813]),
 'letter': array([-0.00401388, -0.00526654,  0.00621675, -0.0072034 , -0.00551464]),
 'breakpoint': array([-0.02313164,  0.01183047, -0.01779604, -0.01898881,  0.01381011]),
 'phase': array([-0.00440145, -0.01631088,  0.00637027,  0.00247076, -0.00950519]),
 'coil': array([ 0.02827822,  0.02156332,  0.01825403, -0.00437646, -0.01271953]),
 'coin': array([-0.01911081, -0.00900115, -0.01112569,  0.01722697, -0.01305092]),
 'airship': array([ 0.01803861, -0.00063153, -0.03379521,  0.02551428,  0.00533358]),
 'condominium': array([-0.00612373, -0.02663332,  0.00368073,  0.01768202, -0.02118574]),
 'singer': array([ 0.01133577,  0.03743635, -0.00514612,  0.0215929 , -0.00648518]),
 'crayfish': array([-0.01839061,  0.01529213, -0.01029917,  0.02169788, -0.01450043]),
 'observation': array([ 0.00322967, -0.01523526, -0.00565493,  0.00113181,  0.01519442]),
 'ejector': array([-0.00436806,  0.00410554,  0.00641444,  0.01416765, -0.01840908]),
 'alarm': array([-0.00132629,  0.01496778,  0.02488664,  0.01713966,  0.01772647]),
 'camp': array([ 0.03131348,  0.02065271,  0.01131794,  0.00354073, -0.01265731]),
 'flow': array([-0.00123194,  0.00183858,  0.00650097,  0.00404365, -0.02333813]),
 'dog': array([-0.00407732, -0.00997111,  0.00177133, -0.00908346, -0.02509984]),
 'doe': array([-0.00712652, -0.01475114,  0.00609747,  0.00725898, -0.01353117]),
 'swamp': array([-0.01174382,  0.01105846, -0.01091311, -0.03294389, -0.03422111]),
 'bracket': array([-0.02410193,  0.02121011, -0.00842352,  0.01435812,  0.00213536]),
 'aunt': array([-0.00163902, -0.00959373,  0.02093021,  0.00845947, -0.00345463]),
 'principle': array([-0.00034367,  0.02741567, -0.00215124,  0.01122689, -0.01004452]),
 'pineapple': array([-0.00640849, -0.03204663,  0.00095993,  0.01289441, -0.00967311]),
 'pharmacist': array([ 0.00787198,  0.00752057, -0.00661097,  0.00585666,  0.00433611]),
 'curio': array([-0.00656308, -0.00375169,  0.00071506, -0.00102617,  0.0189342 ]),
 'sunbeam': array([ 0.0029612 ,  0.00135359,  0.02215798,  0.02020514, -0.01195502]),
 'dot': array([-0.00201124,  0.0061501 , -0.00264666,  0.00933418,  0.0343893 ]),
 'reserve': array([-0.00072585,  0.01422152, -0.01067568,  0.01555284,  0.01834558]),
 'mortise': array([-0.01165815, -0.02410339, -0.00124055,  0.00335568, -0.027416  ]),
 'bomb': array([ 0.00381952,  0.01733297, -0.00204413,  0.0061363 , -0.00780648]),
 'mitten': array([-0.0207933 ,  0.01648928, -0.02720619,  0.00707963,  0.01826158]),
 'dickey': array([-0.009478  , -0.020069  ,  0.01027611, -0.01432093,  0.00089523]),
 'barbiturate': array([ 0.0303963 , -0.01018329,  0.00518593, -0.02923356,  0.00301527]),
 'armament': array([-0.02566101,  0.02768679,  0.00250755, -0.00737562, -0.02373967]),
 'sage': array([ 0.01047679,  0.01939465,  0.01290209, -0.00610188,  0.04159783]),
 'sunlamp': array([-0.00507939,  0.00788411,  0.02528813, -0.00787516, -0.00349904]),
 'rediscovery': array([ 0.00196829, -0.01232367, -0.00419913, -0.01356249,  0.00711324]),
 'chandelier': array([-0.01099113, -0.03112584, -0.00022345,  0.00508687, -0.00566301]),
 'gauge': array([-0.01581244,  0.02377524, -0.01234097,  0.01318642, -0.00646244]),
 'dredger': array([ 0.00784659, -0.01198575,  0.01644315,  0.01264765, -0.01182937]),
 'sundial': array([ 0.02070433, -0.02662317, -0.00900017,  0.00256377,  0.00501002]),
 'earth': array([ 0.00759609,  0.01257816, -0.00744841,  0.02237422,  0.03545075]),
 'analogue': array([ 0.00812688,  0.00716204,  0.01422732,  0.01187762, -0.00463325]),
 'drawbridge': array([-0.00776947,  0.01966464,  0.0084544 ,  0.01669199,  0.01425127]),
 'bail': array([ 0.00841035, -0.01131527, -0.00351791,  0.00307815,  0.00673998]),
 'recliner': array([ 0.00977793,  0.01420867,  0.00229972, -0.00157581, -0.00063478]),
 'abolishment': array([  1.33292779e-05,   9.64536401e-03,   1.09457120e-02,
         -2.33553844e-02,   7.49868221e-03]),
 'toque': array([ 0.00782743,  0.00649576,  0.01614919,  0.01289824,  0.01422505]),
 'tachometer': array([-0.02457076, -0.00920463, -0.01175834, -0.00213788, -0.00204031]),
 'geyser': array([-0.01078633,  0.00591158,  0.02713559, -0.00092355, -0.00981416]),
 'collar': array([-0.01588184,  0.02386265, -0.01258194,  0.0203406 , -0.0232803 ]),
 'spite': array([-0.0208783 , -0.00031215, -0.02857019,  0.00119937,  0.00762942]),
 'hassock': array([ 0.00718848, -0.00430169, -0.00542581,  0.00844549, -0.00070151]),
 'headline': array([ 0.01422869, -0.0073199 ,  0.02159451, -0.02328173, -0.00889302]),
 'menu': array([-0.00674785, -0.02848575,  0.01438611,  0.00790034, -0.00212925]),
 'guidance': array([-0.0128422 ,  0.01255499,  0.01640581, -0.01732863,  0.01116307]),
 'riverbed': array([-0.0034158 ,  0.00984633, -0.00334428, -0.00692737,  0.020113  ]),
 'bust': array([-0.00624627,  0.00551764, -0.0127897 , -0.00936928,  0.01323684]),
 'sugar': array([-0.01203777,  0.02986923, -0.02862494,  0.00550814,  0.03359528]),
 'celery': array([-0.0119935 , -0.03308612, -0.00363259,  0.0072927 , -0.01861286]),
 'cougar': array([ 0.01292312,  0.01454747, -0.00040996, -0.00786541, -0.01848031]),
 'bush': array([ 0.00735995,  0.01239077, -0.02823511,  0.00408589,  0.00579456]),
 'knuckle': array([ 0.01685599,  0.01624216, -0.0134792 ,  0.01270196,  0.00159499]),
 'disgust': array([ 0.0001935 ,  0.02680507, -0.00028678,  0.00304057, -0.00198889]),
 'instrumentalist': array([-0.00770602, -0.01792656,  0.00209639,  0.00381177, -0.01487239]),
 'centurion': array([-0.00066517, -0.01374473,  0.00579099, -0.00417267,  0.0008052 ]),
 'boyfriend': array([ 0.01348705,  0.01484608,  0.00622834, -0.01462809,  0.00458943]),
 'rectangle': array([-0.03013199, -0.01166805,  0.00959525, -0.00547339,  0.0192247 ]),
 'personality': array([ 0.00966483,  0.00448786,  0.02251983,  0.00669312, -0.00673925]),
 'plate': array([ 0.00881051,  0.008363  , -0.00479903,  0.02477032,  0.0177273 ]),
 'mixture': array([-0.02886823, -0.00302273,  0.01466421, -0.00760781,  0.01296717]),
 'sunglasses': array([ 0.00811698, -0.02219441,  0.00054721, -0.00762852,  0.01738288]),
 'lanai': array([-0.01275221,  0.00046686,  0.0106589 ,  0.00627631, -0.00652012]),
 'stop': array([ 0.02750554, -0.00980584, -0.01551016,  0.0035273 ,  0.0280153 ]),
 'leisure': array([-0.00407329,  0.01316011,  0.00692157, -0.0238153 ,  0.01609418]),
 'coast': array([ 0.01027009,  0.00904207,  0.0061622 , -0.02756361,  0.03897299]),
 'pocket': array([-0.04099759,  0.01534272, -0.02289299, -0.00059104,  0.00864345]),
 'roundabout': array([-0.01850726,  0.00080133, -0.02260843, -0.03467664, -0.01658017]),
 'cushion': array([ 0.01092029, -0.005205  ,  0.00881923,  0.00843284,  0.0027578 ]),
 'report': array([-0.00495538,  0.02562898,  0.01421966, -0.00239436, -0.00639622]),
 'nasty': array([ 0.0181097 , -0.00083363,  0.00356419,  0.00024131,  0.00863123]),
 'relish': array([ 0.03080439, -0.02264076, -0.00365632, -0.02929395,  0.00694005]),
 'footrest': array([ 0.00382396, -0.01340288,  0.01029343,  0.0061454 ,  0.01144962]),
 'flanker': array([-0.00598836,  0.02124697,  0.00014118,  0.02044301,  0.00909229]),
 'bat': array([ 0.01380355,  0.01429672,  0.03416322, -0.03119328, -0.00322819]),
 'bar': array([-0.00295635,  0.01221225,  0.00737544,  0.02726691, -0.01237075]),
 'tights': array([ 0.01026191,  0.00777214,  0.01417216, -0.02936264,  0.00261335]),
 'bay': array([-0.0019872 ,  0.01786194, -0.01439636, -0.02706934, -0.02628907]),
 'emu': array([ 0.0097738 , -0.00855326, -0.00654353,  0.0085594 ,  0.02278071]),
 'bag': array([ 0.02380137, -0.0147982 , -0.02377558,  0.02328234, -0.0080536 ]),
 'bad': array([-0.0454001 ,  0.0151393 , -0.01332162,  0.00210333,  0.0121432 ]),
 'frustration': array([-0.0007446 ,  0.02323175, -0.00334596,  0.01558042,  0.03528866]),
 'coke': array([-0.01708209,  0.00838212, -0.02917238,  0.01422507,  0.01095334]),
 'architecture': array([-0.01020677, -0.00926173,  0.01637557, -0.00437069, -0.00864017]),
 'girdle': array([ 0.00382084, -0.01296448, -0.05143368, -0.00859582, -0.02416644]),
 'release': array([ -5.05183081e-03,   2.82890319e-02,   2.14407475e-05,
         -5.44480029e-03,  -1.97642789e-02]),
 'stinger': array([-0.02330504,  0.01608046, -0.00985696,  0.02015395, -0.02068634]),
 'boatyard': array([ 0.01679866,  0.01302765,  0.02474157, -0.01336877, -0.00694589]),
 'steak': array([-0.00134195,  0.01716836,  0.01500089,  0.00189561,  0.01636606]),
 'steal': array([  1.25341362e-03,  -3.01081417e-02,  -2.76813825e-05,
         -1.50761599e-03,   1.66587230e-02]),
 'steam': array([-0.00595696, -0.01401281,  0.00089711,  0.00354679,  0.01197013]),
 'secretary': array([-0.00940469,  0.01105103, -0.03740822, -0.00875212,  0.0030543 ]),
 'respond': array([ 0.02280191, -0.00562944,  0.00874773,  0.00640596,  0.01745923]),
 'disaster': array([-0.00797324,  0.00216861,  0.00878066,  0.01520618,  0.01132945]),
 'reference': array([-0.00098598, -0.00295793,  0.02317795,  0.00698856,  0.0199031 ]),
 'habit': array([-0.00315136, -0.03108568,  0.00178114,  0.01456455, -0.01739802]),
 'liquor': array([ 0.01648987,  0.0011879 ,  0.00478329, -0.00461941,  0.00047   ]),
 'lemonade': array([-0.02550506,  0.01097091, -0.02678863, -0.0079143 ,  0.00718854]),
 'rivulet': array([-0.01301485, -0.00044727, -0.01933651, -0.03615542, -0.03368595]),
 'emergent': array([ 0.02420794,  0.01873412,  0.00646782,  0.00662213,  0.01080987]),
 'aquifer': array([-0.02260483,  0.01266095,  0.00222494, -0.01064734,  0.01266344]),
 'ferryboat': array([-0.05041919,  0.01513259, -0.0144751 , -0.00187227,  0.00171982]),
 'resist': array([-0.01664001, -0.00028603, -0.00542915,  0.009249  , -0.00656875]),
 'pantyhose': array([ 0.0157019 , -0.01243967,  0.00755691, -0.01647514,  0.01725459]),
 'result': array([ 0.00942417,  0.01017792, -0.02093109, -0.0196927 ,  0.0047632 ]),
 'cattle': array([-0.00666126, -0.00242832, -0.00059153,  0.03184153, -0.00871315]),
 'fail': array([-0.00931104, -0.01034451,  0.00455771,  0.00213599, -0.00678441]),
 'depressive': array([-0.00832575,  0.00444575, -0.01439652, -0.01761301, -0.02092381]),
 'clef': array([ 0.01717356,  0.0010241 , -0.02630822,  0.01088197, -0.00524673]),
 'hourglass': array([-0.00583061,  0.00160809,  0.01979366,  0.01483142, -0.00438649]),
 'voyage': array([-0.01822583,  0.02252026,  0.01110263,  0.00438473,  0.01221764]),
 'cyclamen': array([-0.00138703, -0.00080328, -0.01200654, -0.0158752 ,  0.00105036]),
 'sombrero': array([-0.00367539, -0.01406685,  0.00133654, -0.00645673,  0.00023962]),
 'postbox': array([ 0.00961943,  0.02120201,  0.01587097,  0.0080267 , -0.00994869]),
 'sail': array([-0.00928834, -0.01194404, -0.00223338,  0.00955598, -0.01091577]),
 'minion': array([-0.00569343, -0.00373778,  0.00604199,  0.00828024, -0.02386196]),
 'continent': array([ 0.00427616, -0.00457307,  0.00284002, -0.00029187, -0.00637666]),
 'grandmother': array([-0.00746146, -0.02389141,  0.01458538, -0.00254625,  0.0009619 ]),
 'mud': array([ 0.00121079, -0.02710075,  0.01099038, -0.00082987,  0.00090562]),
 'mug': array([-0.01212762, -0.00790536,  0.01187829,  0.02315531,  0.00664551]),
 'score': array([-0.00138857, -0.01671473,  0.01648772,  0.00899377, -0.00369783]),
 'vanity': array([ 0.00167762,  0.0087993 ,  0.01226828,  0.02179526, -0.00441948]),
 'finger': array([-0.00466283, -0.01430277, -0.03311428, -0.02188404, -0.02397809]),
 'scorn': array([-0.01401341, -0.00244978, -0.01133769, -0.01313757,  0.00498984]),
 'baboon': array([-0.01133635,  0.00140449,  0.02067638, -0.01232821, -0.02984185]),
 'tolerance': array([-0.00689449, -0.01214962,  0.00688769, -0.00020421, -0.0074572 ]),
 'discovery': array([-0.00890563,  0.00712215,  0.00343523,  0.0140376 , -0.03109207]),
 'sourwood': array([-0.00877199, -0.02822865, -0.0061557 ,  0.0003307 , -0.00227712]),
 'nature': array([ 0.01670192, -0.00585409, -0.00277058,  0.01333321,  0.02600346]),
 'confusion': array([ 0.01446171, -0.04200393, -0.00365632,  0.01474817, -0.00367662]),
 'lymphocyte': array([-0.00373479, -0.03387991,  0.00283104,  0.00602724, -0.0189276 ]),
 'vestment': array([ 0.01613484, -0.00479927,  0.02302049, -0.02049747,  0.0215216 ]),
 'boss': array([-0.01016155, -0.011239  ,  0.01124   ,  0.00670151, -0.01270579]),
 'toothbrush': array([-0.01356802,  0.02419989, -0.00939143, -0.0128788 , -0.02658441]),
 'spectacles': array([ 0.01174843, -0.01535789,  0.00959659, -0.00632954, -0.00266314]),
 'multimedia': array([-0.00303399, -0.01209994,  0.00830962, -0.00737518, -0.0179253 ]),
 'extent': array([ 0.03916361,  0.00064806, -0.02548561, -0.02075625, -0.00946824]),
 'butane': array([ 0.00372444, -0.02290215,  0.0107978 , -0.0017606 , -0.00293521]),
 'dedication': array([-0.00497503,  0.00990003,  0.00328147,  0.01853753, -0.0073292 ]),
 'cousin': array([-0.00164246, -0.00498541, -0.00084376, -0.01439878, -0.00579441]),
 'convertible': array([ 0.00876249,  0.00655248, -0.01664695,  0.01360392,  0.0205648 ]),
 'debt': array([ 0.002881  ,  0.02362215, -0.00552379,  0.01400941,  0.0326083 ]),
 'flytrap': array([-0.01399271, -0.01161782,  0.01958672,  0.00585075, -0.02117746]),
 'roller': array([ 0.01708813,  0.01944954,  0.01821948,  0.01282762, -0.01658677]),
 'kitchen': array([-0.01186075,  0.02918646, -0.01150185,  0.02382425,  0.01691737]),
 'climate': array([-0.02823347,  0.01402534, -0.0208267 , -0.00919065,  0.01687065]),
 'eggnog': array([ 0.00629336,  0.02228708,  0.02695779, -0.00903621, -0.02036149]),
 'cot': array([ 0.02015949,  0.02763857, -0.00624394,  0.01440459,  0.0285724 ]),
 'cow': array([ 0.01019133, -0.01103382, -0.01852312,  0.01429124,  0.02835525]),
 'country': array([ 0.00576722,  0.01662405, -0.00697656,  0.02823673,  0.00215205]),
 'adapter': array([-0.02070207, -0.00970194, -0.00837221, -0.04903299,  0.0263728 ]),
 'brassiere': array([-0.02745452,  0.00967857, -0.01478845,  0.00066655, -0.00025575]),
 'mariachi': array([ 0.00492167,  0.0154774 , -0.00019899,  0.02944263,  0.00283116]),
 'jelly': array([ 0.01405105, -0.00345958, -0.01225867,  0.00132556,  0.03888357]),
 'facet': array([-0.01189175,  0.01554842, -0.00223289, -0.00501781,  0.01435655]),
 'pith': array([ 0.02243471,  0.03026411,  0.0133786 , -0.03040148, -0.02315629]),
 'puffin': array([ 0.00777762,  0.01421174, -0.0138843 ,  0.0207349 ,  0.04116646]),
 'cob': array([-0.00307018, -0.03670298, -0.00348248, -0.00334727, -0.02242557]),
 'cod': array([ 0.00275084,  0.0038768 ,  0.00830864,  0.00115528, -0.01303308]),
 'cartilage': array([ 0.02493126,  0.00986439, -0.00513288, -0.00156972,  0.02710587]),
 'contribution': array([ 0.00814254, -0.00518233,  0.01010733, -0.00263963, -0.01188548]),
 'laryngitis': array([ 0.02253662, -0.02986603, -0.00465142,  0.01491388,  0.01497866]),
 'negotiation': array([-0.00460382,  0.01539364,  0.0078684 ,  0.00164608, -0.02643463]),
 'tone': array([ -3.53046875e-02,   5.06214173e-06,  -6.87153947e-03,
          4.22848823e-03,   1.48013244e-02]),
 'spear': array([  6.63092239e-03,  -6.71382914e-03,   2.87674062e-03,
         -1.98417002e-03,   1.34685700e-05]),
 'miscommunication': array([ 0.01730891, -0.0100689 ,  0.02175269, -0.01653481,  0.019867  ]),
 'royal': array([-0.00895102, -0.02904191,  0.0050049 , -0.0080832 ,  0.0040034 ]),
 'relaxation': array([ 0.01048689, -0.00913608, -0.00780977,  0.01818708,  0.02444223]),
 'codon': array([-0.00901337, -0.00242665, -0.00053934,  0.00604145, -0.02977945]),
 'gopher': array([-0.00636189, -0.03353419,  0.00481085,  0.0176556 , -0.01482513]),
 'nonconformist': array([-0.01521205,  0.0090598 ,  0.01442161, -0.01333119,  0.00476963]),
 'height': array([ 0.01259666,  0.00638901, -0.01629711,  0.00888351,  0.03126643]),
 'kiosk': array([ 0.00601256,  0.00365064,  0.01066336, -0.01909876,  0.01773103]),
 'karen': array([-0.01007491, -0.01365977,  0.01368529,  0.00701902, -0.00400883]),
 'initiative': array([-0.03283565,  0.00366587, -0.03213409, -0.03192401,  0.00334215]),
 'comprehension': array([-0.00769999, -0.00443045, -0.00961106,  0.01131828, -0.00626088]),
 'foray': array([-0.00196437,  0.01238257,  0.00137715,  0.01212051, -0.01685012]),
 'path': array([-0.02305415,  0.02391908, -0.00227729, -0.02813429, -0.03433907]),
 'trust': array([-0.04335225,  0.00629015, -0.02868585, -0.00319671,  0.01455968]),
 'balalaika': array([ 0.01612774, -0.0102461 ,  0.02016497, -0.03104681,  0.02235052]),
 'conference': array([ 0.0020785 , -0.04126039, -0.00435812,  0.00834961, -0.01252188]),
 'bathroom': array([ 0.00026932,  0.02495989, -0.00186591,  0.01806543,  0.03525061]),
 'beggar': array([ 0.00162393, -0.03527546, -0.00100184, -0.00468863, -0.00850187]),
 'beef': array([ 0.00017101,  0.0068235 , -0.01389607,  0.02341389,  0.00178566]),
 'basis': array([-0.02293943,  0.01938756, -0.00894314, -0.01110443, -0.02355659]),
 'chrome': array([-0.01057099, -0.01762145,  0.0005401 ,  0.00105286, -0.01908563]),
 'ingrate': array([-0.00159327, -0.00570042,  0.00305681,  0.00326323,  0.00398116]),
 'beneficiary': array([-0.00928407, -0.01140972,  0.01287764,  0.00953553,  0.01111132]),
 'commission': array([-0.03417876,  0.00567459, -0.01654179,  0.00462601,  0.00790846]),
 'beer': array([ 0.00684013,  0.00193194, -0.01071253, -0.0060465 ,  0.02547461]),
 'cherries': array([-0.01453598, -0.00184622, -0.00656007, -0.00717312, -0.00760806]),
 'beet': array([ 0.0007755 , -0.00916592, -0.03979193, -0.00021206, -0.02094094]),
 'interest': array([-0.00253659, -0.0165789 ,  0.00694951, -0.00644192, -0.00603016]),
 'canopy': array([-0.00621254,  0.01676976,  0.02412824,  0.0094177 ,  0.00673854]),
 'basin': array([ 0.00441843, -0.0068582 , -0.003737  ,  0.00145105,  0.0048993 ]),
 'pancreas': array([-0.00826023, -0.01214029,  0.00030981, -0.00814934, -0.02226331]),
 'scarecrow': array([-0.02484868,  0.0168262 , -0.01465824,  0.00348484,  0.02128531]),
 'warmth': array([-0.02952199,  0.0051176 ,  0.00705995,  0.00380714,  0.01408673]),
 'cub': array([ 0.00124322,  0.01554849, -0.01340634,  0.02322956,  0.02364667]),
 'chug': array([-0.01088858,  0.0081088 ,  0.01505497,  0.0132014 , -0.02581087]),
 'life': array([ 0.0157152 , -0.01708668, -0.00029305, -0.01526111,  0.00662999]),
 'deodorant': array([-0.00060437,  0.01088727,  0.00847909, -0.01137776,  0.00909241]),
 'chub': array([-0.00237915, -0.01503292,  0.00419013, -0.0202521 , -0.01986749]),
 'loft': array([ 0.03647563,  0.01070254, -0.0011872 ,  0.00968179,  0.00158935]),
 'efficacy': array([-0.00698849, -0.00250049, -0.00031292, -0.00939556,  0.00161514]),
 'publisher': array([-0.00726192, -0.03878318,  0.00082544,  0.01261974, -0.01166756]),
 'allergist': array([ 0.02433871,  0.0135452 , -0.00460439,  0.00083166,  0.02040111]),
 'steamroller': array([ 0.02475208,  0.01891085,  0.02491883,  0.00042222, -0.01033246]),
 'hacksaw': array([ 0.00570913, -0.00038038,  0.0017406 ,  0.01490222,  0.01696194]),
 'joke': array([ 0.01211925, -0.02097838,  0.00125409, -0.01175377, -0.00159766]),
 'argument': array([ 0.00435022,  0.01444034, -0.00011248, -0.01370358,  0.02183721]),
 'craft': array([-0.00437075,  0.00733975,  0.01949221,  0.01089905,  0.00831413]),
 'child': array([ 0.01799552,  0.02362373,  0.00390839,  0.02271429, -0.01574391]),
 'catch': array([-0.00836974,  0.01246705,  0.00931276, -0.00794353, -0.02233567]),
 'glider': array([-0.01332517, -0.01414617, -0.01062938,  0.01839443, -0.01431952]),
 'chill': array([-0.00682358, -0.00711624,  0.00504843,  0.00308521,  0.01737309]),
 'commerce': array([-0.00463949,  0.01617468,  0.03298402, -0.00543303, -0.02262984]),
 'overflight': array([-0.00864812,  0.00656734,  0.01446769,  0.01364418,  0.01782624]),
 'save': array([-0.02535627, -0.00362285,  0.01217724, -0.00522877,  0.01362122]),
 'chauvinist': array([ -8.55398931e-03,  -1.33868505e-02,  -3.92496750e-06,
          2.08298345e-03,  -2.15525438e-02]),
 'cracker': array([ 0.01051635, -0.01003667,  0.00875235,  0.00809627, -0.01223684]),
 'air': array([ 0.02128372,  0.02337555,  0.00247178, -0.00271927,  0.00370222]),
 'employ': array([ 0.02281724, -0.00221862, -0.02283402, -0.00109217,  0.01666301]),
 'lizard': array([ 0.01294521, -0.00530865, -0.00833978, -0.01880452, -0.01400541]),
 'neat': array([ 0.00604277,  0.01025695, -0.02285864, -0.0073633 ,  0.00590855]),
 'dashboard': array([-0.0031304 , -0.01774844,  0.01241873,  0.00557937, -0.01170437]),
 'aid': array([ -8.60460126e-03,   4.87452972e-03,   2.09950127e-02,
          4.05425357e-03,  -8.13316121e-05]),
 'balance': array([-0.00868934,  0.00925252,  0.01057114,  0.00805508, -0.02465535]),
 'study': array([-0.00211032,  0.00547573,  0.0245781 ,  0.03013269,  0.00336154]),
 'procedure': array([-0.00589303, -0.00469424,  0.02301903,  0.00891437, -0.00611567]),
 'mistake': array([ 0.00774481, -0.0093801 , -0.04397262, -0.00775375, -0.01955043]),
 'bin': array([-0.00546385, -0.00060443, -0.01590262, -0.02486077, -0.02896552]),
 'cylinder': array([-0.03857186,  0.00656047,  0.01246795,  0.00510166,  0.00827016]),
 'cane': array([-0.00099297,  0.02031212,  0.00771064,  0.00268862, -0.01171206]),
 'plover': array([-0.03636241, -0.00025281, -0.04097968, -0.01940989,  0.00201406]),
 'diaphragm': array([ 0.0118414 ,  0.00838276, -0.00498586,  0.0088828 ,  0.00850771]),
 'naming': array([ 0.00912687, -0.02052119, -0.00089336, -0.00442792,  0.00955308]),
 'sushi': array([-0.01582169,  0.02250946,  0.00111911, -0.00815615, -0.02682112]),
 'it': array([ 0.00058292,  0.00660901,  0.02586239, -0.00338559, -0.00575573]),
 'player': array([ 0.02474564,  0.00570433, -0.01628927,  0.00650904, -0.00203479]),
 'excitement': array([-0.02693317,  0.00754478, -0.01473957,  0.00593889,  0.00047767]),
 'tissue': array([-0.00419803, -0.01336295,  0.01359749,  0.00332938,  0.00539884]),
 'brake': array([-0.0042646 , -0.001098  ,  0.02093127,  0.03194707,  0.00582463]),
 'cone': array([ 0.00433774,  0.00312052,  0.00992412,  0.02370148,  0.01050826]),
 'exile': array([-0.04064447,  0.01095915, -0.036214  , -0.02653836,  0.00357358]),
 'violin': array([-0.01554358,  0.00230424, -0.00896668,  0.01249908, -0.01056989]),
 'mouse': array([ 0.01624442,  0.00297476, -0.04076696,  0.0012299 ,  0.00074   ]),
 'if': array([-0.0043432 , -0.01562839, -0.01727657, -0.00190612,  0.012364  ]),
 'emergency': array([  1.99170561e-03,  -3.39722270e-02,   8.03075716e-05,
          2.02772358e-02,  -2.48764884e-02]),
 'pawnshop': array([ 0.00558571, -0.02342957,  0.00446368,  0.00462278, -0.00015305]),
 'prior': array([-0.0014968 ,  0.01041325,  0.01421087,  0.01300739, -0.00548288]),
 'make': array([ 0.01846379,  0.01091058, -0.00464488,  0.00887386, -0.02332998]),
 'punctuation': array([-0.00948367, -0.01808384,  0.00375772,  0.00425054, -0.00321008]),
 'jogging': array([ 0.00905582, -0.02766653,  0.00556905,  0.01240912, -0.00176767]),
 'indigence': array([-0.00921921,  0.02447922, -0.02165377,  0.01471973,  0.00741958]),
 'forehead': array([-0.01865363,  0.02221228, -0.01439777,  0.00496875,  0.02511667]),
 'complex': array([ 0.01116155, -0.0091953 , -0.00817823,  0.01927249, -0.01563262]),
 'patient': array([ 0.01414356,  0.00457654, -0.017068  ,  0.01658171, -0.00258421]),
 'harmony': array([-0.00830711, -0.01514602, -0.00021055,  0.0200464 ,  0.00013997]),
 'carnation': array([ 0.00954394, -0.01771263, -0.01878228,  0.00776451, -0.01727026]),
 'vegetable': array([ 0.02936248,  0.00859065, -0.01889116,  0.01322943, -0.01435417]),
 'silly': array([-0.00818465,  0.00644911,  0.01797652, -0.04359526,  0.01810664]),
 'bifocals': array([-0.01191181,  0.00692111,  0.0041305 ,  0.00811086, -0.01459061]),
 'advertising': array([-0.00599665,  0.01043036,  0.00805589,  0.00371672,  0.01253851]),
 'independent': array([-0.01328308, -0.01524388,  0.00098238,  0.00213086, -0.00931194]),
 'satellite': array([-0.01658789,  0.01274183,  0.01945911, -0.01340212,  0.00556834]),
 'half-sister': array([ 0.00866452, -0.01992323, -0.00593233,  0.01372026,  0.01499942]),
 'hosiery': array([-0.00126452,  0.00838624,  0.01797475,  0.00688814,  0.01029086]),
 'instrumentation': array([ 0.01790284, -0.00386524,  0.00315748, -0.00350475, -0.00989881]),
 'swell': array([-0.01327445, -0.01521983,  0.00400471,  0.01504575, -0.01985861]),
 'permit': array([-0.01403811, -0.00336682,  0.00660331,  0.00474189, -0.00056957]),
 'anesthesiology': array([-0.01922437,  0.0264535 , -0.007795  , -0.01469511, -0.04501881]),
 'coevolution': array([ 0.01894295, -0.01476023,  0.00859637,  0.00043064,  0.00983124]),
 'hand': array([-0.02871703,  0.01565076,  0.01667169, -0.0002956 ,  0.01416754]),
 'delight': array([-0.00508148, -0.01478615,  0.01951449,  0.00507627, -0.01240913]),
 'suburb': array([-0.03160041,  0.01290254,  0.02068796, -0.0029184 ,  0.00993777]),
 'waterfall': array([ 0.01833988, -0.0125025 , -0.03688526,  0.00557515, -0.00174424]),
 'garlic': array([-0.0246694 , -0.00407439, -0.0078983 ,  0.00064084,  0.01066993]),
 'warden': array([-0.00722553, -0.00600734,  0.02579754, -0.0076813 ,  0.00271902]),
 'tuna': array([-0.01055313, -0.03853553,  0.00464173, -0.00826612, -0.00039483]),
 'opportunity': array([-0.00222046,  0.02645024, -0.00504545,  0.01226833,  0.03814843]),
 'tune': array([-0.00622237,  0.0040162 ,  0.02310313, -0.00868391, -0.02936407]),
 'cycle': array([ 0.00596301, -0.00103456, -0.04605715, -0.00204216, -0.01061848]),
 'butter': array([ 0.00436701,  0.00400789,  0.00980147, -0.02376131,  0.03369306]),
 'hearth': array([-0.0064317 , -0.02571009,  0.01089511,  0.01635759, -0.01539776]),
 'gemsbok': array([-0.01374818, -0.00557085, -0.00177936, -0.00308545, -0.01508207]),
 'cormorant': array([ 0.02291482,  0.02395836,  0.00471615,  0.0184807 , -0.02571609]),
 'dishes': array([ 0.02618921,  0.02214037,  0.01186691, -0.00035043, -0.02122687]),
 'acoustics': array([ 0.01089218,  0.00926239, -0.00937457,  0.00656099,  0.00419638]),
 'dirndl': array([-0.00976626, -0.01302629,  0.0101396 ,  0.00288955, -0.01650167]),
 'ocean': array([ 0.0102746 , -0.02309327, -0.00699795,  0.00163242,  0.03108271]),
 'savings': array([-0.00994144,  0.01238148, -0.01124695, -0.00103745,  0.01550523]),
 'chronometer': array([ -9.05455087e-03,  -2.50954956e-02,  -1.08795080e-02,
         -1.74523122e-02,   8.82627385e-05]),
 'midwife': array([-0.0120504 , -0.01504568, -0.00194148,  0.02181764, -0.00365378]),
 'mother': array([ 0.00039342, -0.00784682, -0.01225491, -0.010132  , -0.0308807 ]),
 'snowman': array([ 0.03320499, -0.00350699, -0.00623721, -0.0046994 , -0.00940711]),
 'eyebrows': array([-0.00257605,  0.02048702, -0.00020829,  0.01765264, -0.01986255]),
 'protocol': array([-0.00899991, -0.0018144 , -0.00062934, -0.0159489 , -0.02816439]),
 'background': array([-0.00942067, -0.00455149, -0.01501461, -0.00894326,  0.00222565]),
 'sentence': array([-0.0041444 , -0.0161707 ,  0.00871083, -0.00147226,  0.00096965]),
 'photo': array([-0.01793623,  0.0040109 ,  0.00999529,  0.00730628, -0.0105191 ]),
 'laptop': array([ 0.00972191, -0.02080314, -0.00467706,  0.01067657,  0.01959451]),
 'leaver': array([-0.03254482,  0.0100071 , -0.01153854, -0.00822501,  0.0200069 ]),
 'disguise': array([-0.01000886,  0.02330411,  0.00026692, -0.04320218, -0.02898797]),
 'goggles': array([ 0.00502139, -0.00801586,  0.01470193, -0.03251334,  0.01249676]),
 'councilman': array([-0.01777706, -0.01679339,  0.00881166, -0.00993095, -0.00145134]),
 'human': array([ 0.01338338, -0.00123633,  0.00838739, -0.00570892,  0.01400182]),
 'partridge': array([-0.00941314, -0.00136503, -0.01433836, -0.01715886,  0.0128216 ]),
 'airbag': array([ 0.02528172,  0.00453906, -0.01481561,  0.00077296,  0.00710779]),
 'bit': array([ 0.0213534 ,  0.03268742, -0.01147164,  0.01268656, -0.01522208]),
 'stepdaughter': array([-0.03110989,  0.00121863, -0.03150126, -0.02013141,  0.00576165]),
 'secure': array([-0.00628945, -0.01904918,  0.01134848,  0.02744028,  0.00048521]),
 'elk': array([-0.01422442, -0.00147189,  0.00441439,  0.00749874, -0.02692084]),
 'diarist': array([ 0.02565326, -0.01200236, -0.01362345,  0.01352568, -0.01307909]),
 'nudge': array([ 0.00105772,  0.01290186,  0.02103631, -0.0067764 , -0.00294861]),
 'candidate': array([-0.00100736,  0.01464627, -0.00824574,  0.02520931, -0.0058543 ]),
 'elm': array([-0.02063803,  0.00715523,  0.00852229, -0.00632935,  0.02770982]),
 'cherry': array([  8.05992279e-03,   7.06743277e-03,  -7.85618769e-04,
         -1.22678179e-05,   2.61868041e-02]),
 'ease': array([ 0.00977221,  0.00279427, -0.01734196,  0.01015615, -0.01111616]),
 'boot': array([-0.01149908, -0.00080166, -0.00084916,  0.00155448, -0.03348725]),
 'character': array([ 0.01544974, -0.00429155,  0.01148706,  0.00956697,  0.02535925]),
 'advancement': array([-0.01055693, -0.0132742 ,  0.00890889,  0.00169508, -0.03093278]),
 'passive': array([-0.00181563,  0.00516483,  0.02413987, -0.00406687, -0.01937798]),
 'hay': array([ 0.01051986, -0.03039739, -0.00266893,  0.00198106,  0.0107026 ]),
 'n': array([ 0.00068933,  0.00270047,  0.02435547, -0.00269537,  0.00548959]),
 'board': array([-0.0103993 , -0.01330235,  0.0130995 ,  0.00366781, -0.01008387]),
 'innocent': array([-0.01688308, -0.00890969,  0.02932948,  0.00084567,  0.00669884]),
 'prison': array([-0.01361903,  0.00398419,  0.00407466,  0.00876575,  0.03639163]),
 'duffel': array([  3.47645413e-02,   4.13275908e-05,  -2.79089546e-02,
         -1.92999063e-03,  -1.51354638e-02]),
 'shoemaker': array([ 0.0375528 ,  0.0074251 , -0.01467068, -0.0065804 , -0.01223453]),
 'east': array([ 0.00321968, -0.02483532,  0.00435855, -0.00453403,  0.0219469 ]),
 'hat': array([ 0.00732344,  0.01667452,  0.00249971,  0.00524814,  0.0047282 ]),
 'emphasis': array([-0.04661873, -0.00053691, -0.00222672, -0.02753038,  0.01711245]),
 'shoulder': array([-0.00469319,  0.01984805,  0.00414871,  0.01931488,  0.03525594]),
 'menorah': array([-0.01015546,  0.0171764 ,  0.00183358,  0.00890065, -0.00919511]),
 'vulture': array([-0.02435058, -0.0188083 , -0.0228925 , -0.01874386,  0.00724087]),
 'possible': array([  3.25469758e-04,   9.09383685e-05,   1.05489360e-02,
         -1.23723876e-02,  -3.77404230e-03]),
 'interior': array([-0.0192739 ,  0.0097596 , -0.02848081,  0.01716679, -0.00082831]),
 'boxer': array([-0.00427817, -0.01570315,  0.0071562 , -0.00034176,  0.00140147]),
 'birth': array([-0.00876254, -0.01037516, -0.00846852,  0.01107809, -0.00164286]),
 'chaise': array([-0.00422924,  0.00647722, -0.00888713,  0.01823592,  0.01018779]),
 'judge': array([ 0.03185266,  0.00071712, -0.02044904, -0.00712068, -0.01538271]),
 'cape': array([ 0.02410651,  0.03181382,  0.00537769,  0.01257275, -0.0222016 ]),
 'shadow': array([ 0.0043636 , -0.02495378, -0.00121208, -0.05483712, -0.0024831 ]),
 'strap': array([-0.00303542,  0.01876049,  0.00048588,  0.0013131 , -0.01563925]),
 'disadvantage': array([ 0.00253298,  0.02640627, -0.00798467,  0.00678063,  0.0414611 ]),
 'desire': array([-0.00718897, -0.01037093,  0.01220278,  0.00363066,  0.01524494]),
 'dignity': array([-0.00891521, -0.00115158, -0.0120731 , -0.00238999,  0.01291489]),
 'population': array([ 0.00447768, -0.01897361,  0.00123948, -0.01771292,  0.00309209]),
 'gift': array([ 0.00054764, -0.02771912,  0.00273485,  0.00788729, -0.00218461]),
 'deviance': array([ 0.00126388,  0.01112422,  0.01353982, -0.01522027, -0.00300181]),
 'parka': array([ 0.00281928,  0.01976074, -0.01811972,  0.02455875, -0.0137824 ]),
 'hunt': array([ 0.00867164, -0.0290567 ,  0.00338471, -0.00783834,  0.01383679]),
 'detainment': array([-0.00133381, -0.00882798,  0.02404403, -0.01155239, -0.00039421]),
 'specific': array([ 0.01730922,  0.01595942,  0.01229562,  0.01650951, -0.00972236]),
 'pavement': array([-0.01692303,  0.00597981,  0.00482545,  0.00026656,  0.01973075]),
 'purchase': array([ 0.00155272,  0.01522112, -0.00402741, -0.01496369, -0.00392274]),
 'steps': array([ 0.0210768 ,  0.03064217, -0.00243855,  0.02542935, -0.00820467]),
 'mosquito': array([-0.00392356, -0.00439298,  0.01770152,  0.01917014, -0.02650079]),
 'night': array([-0.01664428,  0.01368422,  0.01897885,  0.01263576, -0.01647564]),
 'bunch': array([ 0.00381592,  0.02603513, -0.00066678, -0.01907644,  0.02159251]),
 'security': array([-0.01177883, -0.00625437, -0.00977512, -0.00125556, -0.00976368]),
 'cirrus': array([ 0.01211091,  0.00011273, -0.0104306 , -0.05128957, -0.02281546]),
 'attorney': array([ 0.00815555, -0.00132565, -0.04442142, -0.00327362, -0.01312676]),
 'right': array([-0.01253326,  0.00028181, -0.01020513, -0.011743  , -0.00447173]),
 'honoree': array([-0.01062501, -0.00780059, -0.00300318, -0.01751401, -0.03005068]),
 'deal': array([-0.01320889,  0.00252427,  0.00602534,  0.00718413,  0.00128156]),
 'people': array([-0.00332147,  0.0207127 , -0.00437784,  0.01360593, -0.02394734]),
 'crown': array([ 0.00769563,  0.01381828, -0.00345154, -0.03481582,  0.01503744]),
 'dead': array([-0.00558639,  0.0037929 ,  0.0278153 ,  0.01619397,  0.00232133]),
 'sponge': array([-0.00018799,  0.00791295,  0.00573778,  0.00944377,  0.01884131]),
 'usher': array([-0.00734614, -0.01950317,  0.00578641,  0.0066283 , -0.02090816]),
 'election': array([ 0.00622037,  0.00011199, -0.00108395,  0.00597569,  0.01532542]),
 'invoice': array([ -1.74301921e-02,   8.43404549e-03,  -4.03493658e-03,
          4.17297511e-05,   3.11692995e-03]),
 'escape': array([ 0.01274247,  0.00700363,  0.02573318, -0.00890802, -0.00238239]),
 'billboard': array([-0.01226811, -0.00800518,  0.00093666, -0.00266414,  0.02100811]),
 'bore': array([-0.00660417, -0.02203573,  0.00502283,  0.01452199, -0.01045785]),
 'guess': array([-0.01697826,  0.01340714,  0.00537493, -0.0104494 , -0.00038909]),
 'plowman': array([-0.01767237, -0.00015196,  0.00275712, -0.01021002, -0.01916102]),
 'orchid': array([ 0.00566789, -0.01902221,  0.0099193 ,  0.00010873,  0.02512675]),
 'fusarium': array([ 0.0117714 , -0.00104732, -0.00471318,  0.00011189,  0.00834947]),
 'sociology': array([ 0.00827709,  0.00258284,  0.00195906,  0.00274522,  0.00721911]),
 'humor': array([-0.00109323, -0.00572243, -0.00596717,  0.01583838,  0.02314077]),
 'okra': array([-0.00909864,  0.00839782,  0.01826957,  0.0126701 , -0.02075757]),
 'bottom': array([ 0.00779101,  0.00527055, -0.01373974,  0.02397045,  0.00977536]),
 'purple': array([ 0.01351909, -0.00094389, -0.01407131,  0.00794574,  0.02567453]),
 'normal': array([-0.00034852,  0.01708772, -0.00338601, -0.00068372,  0.04723216]),
 'fox': array([-0.00406832, -0.01300228,  0.02660604,  0.00925791, -0.00613445]),
 'microwave': array([-0.01199055, -0.01036976, -0.00663379, -0.0087964 ,  0.00159647]),
 'creative': array([-0.0030668 , -0.0234851 , -0.01097597,  0.00959657,  0.0003431 ]),
 'sledge': array([ 0.03572632,  0.01551243,  0.00175387, -0.00019505, -0.01431841]),
 'newsprint': array([-0.003454  , -0.00704272, -0.00334013,  0.00424009, -0.01870753]),
 'exposition': array([-0.00455813, -0.01918974,  0.01204403, -0.01231234,  0.00792721]),
 'skylight': array([-0.00096265,  0.01242633,  0.00579039,  0.02235775,  0.02200142]),
 'fob': array([-0.00352853,  0.01303695,  0.02420181,  0.01828983,  0.01928104]),
 'drink': array([-0.00278066, -0.00779768,  0.00457012,  0.00247004, -0.02372487]),
 'officer': array([-0.01846212,  0.02797243,  0.0150384 , -0.02784368,  0.00959265]),
 'cord': array([-0.01375288, -0.02702243,  0.00478715, -0.00489087, -0.00033753]),
 'holiday': array([ 0.0300265 , -0.00487301, -0.00821339, -0.00129541,  0.01035351]),
 'shaker': array([ 0.02944172,  0.0015834 ,  0.00769499, -0.01197688,  0.00842826]),
 'ironclad': array([-0.01507396,  0.017336  , -0.01446641,  0.00081832,  0.01237712]),
 'energy': array([ 0.00440658,  0.01192857,  0.00955288, -0.01700105, -0.01253009]),
 'marketing': array([-0.03180217,  0.01496658,  0.02430403,  0.00414351,  0.0137837 ]),
 'corn': array([ 0.02659378, -0.00319181,  0.00961793, -0.03551725,  0.01106258]),
 'burn': array([ 0.01538773,  0.00753678,  0.00899329,  0.01120428, -0.00238981]),
 'cork': array([ 0.00467096, -0.00461697,  0.0087077 ,  0.0006452 ,  0.00404399]),
 'discount': array([-0.00397143, -0.00200224, -0.0357541 , -0.01637257,  0.00972561]),
 'bolt': array([-0.00633712, -0.03257998, -0.0032143 ,  0.00573542, -0.00065902]),
 'peer': array([-0.00695749, -0.03148293, -0.00038778,  0.01495462,  0.01757304]),
 'post': array([ 0.01279655,  0.01718489,  0.01845938, -0.00879847, -0.01621298]),
 'chafe': array([-0.0067683 , -0.02618108,  0.00119472,  0.00608119, -0.01427268]),
 'empowerment': array([ 0.00469124, -0.01173365,  0.01071368,  0.01710253,  0.01401822]),
 'census': array([ 0.0273221 , -0.01577522,  0.01032489, -0.01574399,  0.0085757 ]),
 'diner': array([-0.0101647 , -0.00825168,  0.00266722, -0.02481448, -0.00625138]),
 'eat': array([ 0.00965461, -0.03161879, -0.0089772 , -0.00424991,  0.00431136]),
 'cowboy': array([ 0.03564097,  0.00840179, -0.00287695, -0.01336684, -0.00569588]),
 'eavesdropper': array([ 0.01915186, -0.00511929, -0.00168739,  0.00036885, -0.02531898]),
 'surround': array([-0.02013743, -0.02301905, -0.0013468 ,  0.00344953,  0.00324391]),
 'sweater': array([ 0.00980989,  0.0117297 ,  0.02606448, -0.00873612,  0.00026343]),
 'unibody': array([-0.00488923, -0.01602604,  0.01083946, -0.00034654,  0.02019816]),
 'magazine': array([-0.00116318,  0.00678313,  0.00703115,  0.01590512, -0.03282749]),
 'afternoon': array([-0.01298558,  0.03417929, -0.00604993, -0.02025059, -0.0129095 ]),
 'craftsman': array([ 0.00269418, -0.01474248,  0.00484051, -0.00039375,  0.00218603]),
 'clapboard': array([-0.00427575, -0.00163989, -0.00535315, -0.0122128 ,  0.01140078]),
 'octopus': array([ 0.00851385,  0.00187337, -0.04518353, -0.00351868, -0.00689825]),
 'permafrost': array([-0.01520813,  0.00635174, -0.00196414,  0.0062247 , -0.0005907 ]),
 'nerve': array([-0.01888512,  0.0176966 , -0.00888048,  0.0002531 , -0.00717844]),
 'digestion': array([ 0.01564418,  0.00035352,  0.00638638,  0.01503488, -0.0124157 ]),
 'castanets': array([-0.00624723,  0.02275217,  0.00163102,  0.00172862, -0.01920953]),
 'ephemera': array([-0.00874586, -0.02132712, -0.0016077 , -0.00096388, -0.01145342]),
 'profession': array([-0.00609947, -0.02467993,  0.00264129, -0.00927864,  0.00562011]),
 'gliding': array([ 0.02283413, -0.00534523,  0.01109773, -0.0028488 ,  0.03202561]),
 'bath': array([-0.01647318, -0.00276791,  0.00953097,  0.01693526,  0.00907448]),
 'lier': array([ 0.01855594, -0.00379411,  0.0144683 ,  0.00613381,  0.013017  ]),
 'SUV': array([-0.01180173, -0.01189812,  0.01972768, -0.01491601,  0.01522452]),
 'sow': array([  1.55963445e-02,   5.72566634e-04,  -3.15382040e-02,
          8.06941357e-05,  -3.42749779e-03]),
 'mambo': array([ 0.00433074,  0.01088304,  0.00059911, -0.03254825,  0.00567435]),
 'hospice': array([ 0.00901049,  0.00806782,  0.00264669, -0.01020712,  0.01080859]),
 'chime': array([ -4.41678018e-03,  -5.20139463e-03,   2.05700932e-02,
          1.94449633e-02,  -4.47735262e-05]),
 'creek': array([ -9.65810772e-05,  -2.51217107e-02,   1.11800691e-02,
         -8.58230069e-04,  -7.18487956e-03]),
 'neologism': array([-0.02150135, -0.000318  , -0.00590099,  0.00830589, -0.00093859]),
 'git': array([ 0.00142613, -0.00860571,  0.00719189, -0.003224  ,  0.02029641]),
 'crowd': array([ 0.00173074,  0.0171625 ,  0.02579946,  0.00102124,  0.00347939]),
 'bookend': array([-0.02861689,  0.01424743,  0.01147321, -0.01947887,  0.0020589 ]),
 'altitude': array([-0.00279262, -0.02210417,  0.0141587 ,  0.00591983, -0.00138868]),
 'initial': array([ 0.01371453, -0.01000129, -0.02432712,  0.01486121,  0.02158772]),
 'jealousy': array([ 0.00851898,  0.00766531,  0.00742196, -0.00365658, -0.01448308]),
 'fight': array([-0.02284142, -0.02083306, -0.00098282,  0.0046735 ,  0.00434794]),
 'editor': array([ 0.00883675, -0.00551439,  0.01098208,  0.00878489,  0.00243611]),
 'wax': array([-0.00740344, -0.02137572, -0.00448483,  0.0223281 , -0.00459056]),
 'music': array([-0.00384667, -0.01900763,  0.01319246,  0.00101729,  0.00579709]),
 'south korea': array([ 0.01778528, -0.01134006,  0.01102503,  0.0114144 ,  0.00798254]),
 'war': array([ 0.00302789,  0.00804608,  0.03732741,  0.02305177,  0.00362907]),
 'fork': array([ 0.02105653,  0.01276416,  0.00396704,  0.00412599,  0.00304168]),
 'head': array([ 0.0235836 , -0.01604646, -0.00428683,  0.00198102,  0.00576827]),
 'medium': array([-0.00072533, -0.01773015, -0.00725956, -0.03336057, -0.00292652]),
 'fragrance': array([ 0.00856489,  0.01546344,  0.00576897, -0.01958884, -0.02324495]),
 'form': array([ 0.01670255, -0.00790813, -0.01906304,  0.02326681,  0.00543441]),
 'offer': array([ 0.00285259, -0.03404585, -0.00066681,  0.02926155, -0.01159507]),
 'sweatsuit': array([-0.0077908 , -0.01131904,  0.00261193, -0.00649234, -0.01989168]),
 'artichoke': array([-0.01006569,  0.00378636,  0.02010513,  0.01270518, -0.03156842]),
 'forever': array([-0.00144162, -0.01649141,  0.01773378, -0.01493093, -0.00607603]),
 'vitality': array([ 0.00189839, -0.0140669 , -0.00768322, -0.00255512,  0.00610147]),
 'failure': array([-0.01541123, -0.01199314, -0.00310587,  0.0037272 , -0.03892153]),
 'heat': array([-0.00749359, -0.01446089, -0.01108957,  0.01609685,  0.00630805]),
 'uncle': array([-0.03958708,  0.01846384, -0.02107811,  0.00150377,  0.01780847]),
 'carotene': array([-0.01537154,  0.01508208,  0.00504105, -0.01873288,  0.00696   ]),
 'beech': array([ 0.02194489, -0.014991  , -0.02839495,  0.00832514, -0.01504944]),
 'iris': array([ 0.02923276, -0.00328526, -0.01923105,  0.01170786, -0.00744445]),
 'cobweb': array([ 0.01628698, -0.0015506 ,  0.00783977, -0.01494665,  0.03243558]),
 'analyst': array([-0.00999392, -0.00713423,  0.00924184,  0.00105849, -0.03071506]),
 'fort': array([-0.00873659, -0.014884  , -0.00734575,  0.00674428, -0.01176897]),
 'suspect': array([-0.00976108, -0.00367112,  0.00106815,  0.00289151, -0.02380826]),
 'pavilion': array([-0.00244322, -0.01929407,  0.00914472,  0.00458634,  0.00262206]),
 'input': array([ 0.01913223,  0.00030855,  0.02155306, -0.03001893, -0.01408481]),
 'detective': array([-0.0123731 ,  0.00500278,  0.01952357, -0.00681298,  0.00193596]),
 'inside': array([ 0.01592847, -0.00023991, -0.00223304, -0.01010154,  0.0124393 ]),
 'maximum': array([-0.01804173, -0.00991153, -0.0089112 , -0.00355203,  0.00593697]),
 'tell': array([-0.00694045, -0.02241464, -0.00445743,  0.00429616, -0.0193578 ]),
 'pest': array([ 0.02258005,  0.02158898,  0.00183044,  0.01679302, -0.0145315 ]),
 'authorization': array([-0.00365271, -0.00913692,  0.01998732,  0.0178558 , -0.01991209]),
 'average': array([ -7.98254267e-05,  -1.83255594e-02,   1.99983290e-02,
          1.09614854e-02,  -2.93949332e-03]),
 'delete': array([ 0.00083966, -0.01862733,  0.01410394,  0.01101973, -0.00124421]),
 'trim': array([-0.00537433, -0.01610281, -0.00425135,  0.00364093, -0.00952043]),
 'passenger': array([-0.00455729, -0.01531865,  0.01917483,  0.01313165, -0.00386571]),
 'shin': array([-0.02022714,  0.00388383, -0.0093117 ,  0.01138767,  0.00582154]),
 'semicolon': array([ 0.00065455, -0.02655047, -0.00486513, -0.01566785, -0.00738434]),
 'classic': array([-0.01977981,  0.01288917, -0.00346292,  0.01255605, -0.01400355]),
 'locust': array([-0.00772588, -0.01317563,  0.01296265,  0.01179529, -0.00536186]),
 'porthole': array([-0.01051768, -0.00564188, -0.00712202,  0.02446594, -0.00095762]),
 'bathrobe': array([-0.02752291,  0.00843139,  0.01496344,  0.00376484,  0.01212201]),
 'textbook': array([ 0.00222825, -0.00340265,  0.01743576, -0.0299036 ,  0.00811555]),
 'evidence': array([-0.00368441,  0.01405513,  0.01661252,  0.01825531,  0.01663001]),
 'trombone': array([ 0.01984104, -0.00057258, -0.00732317,  0.00971776,  0.00059255]),
 'marksman': array([  4.57517328e-05,   9.78546254e-03,   7.12920825e-03,
         -1.31071799e-02,  -2.43989761e-02]),
 'cacao': array([ 0.01197857, -0.01250763,  0.00163925,  0.01241757,  0.02703758]),
 'mole': array([-0.00216523, -0.00030028,  0.01196743,  0.00144463,  0.01284879]),
 'physical': array([ 0.01521114, -0.00441241,  0.00858988, -0.01296791,  0.01254404]),
 'floor': array([ 0.00224806, -0.02040644,  0.00412427,  0.0117545 ,  0.00351021]),
 'sidestream': array([-0.03697011,  0.00986482, -0.00463197, -0.01315047,  0.01840721]),
 'tip': array([-0.01352771,  0.01461473, -0.00749898,  0.02281245, -0.00707057]),
 'actor': array([-0.00746069, -0.00697551,  0.00265735,  0.00023921, -0.02174091]),
 'reality': array([-0.00949637,  0.01428315,  0.00747623, -0.00403179,  0.005747  ]),
 'power': array([ 0.01602665, -0.0091448 , -0.03817549, -0.01193886, -0.01113035]),
 'flood': array([ 0.00336908, -0.00206957,  0.00905556,  0.00715487, -0.0137033 ]),
 'beheading': array([ 0.00155023,  0.01098288,  0.00906818, -0.03303073, -0.02502627]),
 'setting': array([-0.01790806, -0.00271155, -0.01001199,  0.00880919,  0.00834064]),
 'republic': array([ 0.00457923, -0.02604463, -0.00343971,  0.00654271,  0.00047383]),
 'linguistics': array([-0.00589288, -0.01499611,  0.02175987,  0.01312066,  0.00064696]),
 'digital': array([-0.00501654, -0.00797497, -0.00423285,  0.01453324, -0.01700818]),
 'test': array([ 0.00262491, -0.00260056,  0.02150597,  0.00407936,  0.00087986]),
 'eclipse': array([ 0.02263202, -0.00676605, -0.02071621,  0.00754119, -0.00245517]),
 'marxism': array([ 0.00756456,  0.01559782,  0.00912309, -0.01491509, -0.00963193]),
 ...}

In [ ]:
with open('word_vecs.pkl', 'wb') as out:
    pickle.dump(
        {words[i]: v for i, v in enumerate(simpler[0])},
        out
    )