Tokenising Text Data

In this notebook, you will learn how to tokenise text data using tf.keras.preprocessing.text.Tokenizer.

import tensorflow as tf
tf.__version__

'2.0.0'

You have now downloaded and experimented with the IMDb dataset of labelled movie reviews. You will have noticed that the words have been mapped to integers. Converting a sequence of words to a sequence of numbers is called tokenisation. The numbers themselves are called tokens. Tokenisation is handy because it allows numerical operations to be applied to text data.

The IMDb reviews were tokenised by mapping each word to a positive integer that indicated its frequency rank. Tokenisation could also have been applied at the level of characters rather than words.

The text dataset

The text we will work with in this notebook is Three Men in a Boat by Jerome K. Jerome, a comical short story about the perils of going outside.

# Load the data

with open('data/ThreeMenInABoat.txt', 'r', encoding='utf-8') as file:
    text_string = file.read().replace('\n', ' ')

# Perform some simple preprocessing, replacing dashes with empty spaces

text_string = text_string.replace('—', '')

# View an excerpt of the data

text_string[0:2001]

'CHAPTER I.   Three invalids.Sufferings of George and Harris.A victim to one hundred and seven fatal maladies.Useful prescriptions.Cure for liver complaint in children.We agree that we are overworked, and need rest.A week on the rolling deep?George suggests the River.Montmorency lodges an objection.Original motion carried by majority of three to one.  There were four of usGeorge, and William Samuel Harris, and myself, and Montmorency.  We were sitting in my room, smoking, and talking about how bad we werebad from a medical point of view I mean, of course.  We were all feeling seedy, and we were getting quite nervous about it. Harris said he felt such extraordinary fits of giddiness come over him at times, that he hardly knew what he was doing; and then George said that _he_ had fits of giddiness too, and hardly knew what _he_ was doing. With me, it was my liver that was out of order.  I knew it was my liver that was out of order, because I had just been reading a patent liver-pill circular, in which were detailed the various symptoms by which a man could tell when his liver was out of order.  I had them all.  It is a most extraordinary thing, but I never read a patent medicine advertisement without being impelled to the conclusion that I am suffering from the particular disease therein dealt with in its most virulent form.  The diagnosis seems in every case to correspond exactly with all the sensations that I have ever felt.  [Picture: Man reading book] I remember going to the British Museum one day to read up the treatment for some slight ailment of which I had a touchhay fever, I fancy it was.  I got down the book, and read all I came to read; and then, in an unthinking moment, I idly turned the leaves, and began to indolently study diseases, generally.  I forget which was the first distemper I plunged intosome fearful, devastating scourge, I knowand, before I had glanced half down the list of “premonitory symptoms,” it was borne in upon me that I had fairly got it.'

# Split the text into sentences.

sentence_strings = text_string.split('.')

# View a sample of the dataset

sentence_strings[20:30]

['  I got down the book, and read all I came to read; and then, in an unthinking moment, I idly turned the leaves, and began to indolently study diseases, generally',
 '  I forget which was the first distemper I plunged intosome fearful, devastating scourge, I knowand, before I had glanced half down the list of “premonitory symptoms,” it was borne in upon me that I had fairly got it',
 '  I sat for awhile, frozen with horror; and then, in the listlessness of despair, I again turned over the pages',
 '  I came to typhoid feverread the symptomsdiscovered that I had typhoid fever, must have had it for months without knowing itwondered what else I had got; turned up St',
 ' Vitus’s Dancefound, as I expected, that I had that too,began to get interested in my case, and determined to sift it to the bottom, and so started alphabeticallyread up ague, and learnt that I was sickening for it, and that the acute stage would commence in about another fortnight',
 '  Bright’s disease, I was relieved to find, I had only in a modified form, and, so far as that was concerned, I might live for years',
 '  Cholera I had, with severe complications; and diphtheria I seemed to have been born with',
 '  I plodded conscientiously through the twenty-six letters, and the only malady I could conclude I had not got was housemaid’s knee',
 '  I felt rather hurt about this at first; it seemed somehow to be a sort of slight',
 '  Why hadn’t I got housemaid’s knee?  Why this invidious reservation?  After a while, however, less grasping feelings prevailed']

Create a Tokenizer object

The Tokenizer object allows you to easily tokenise words or characters from a text document. It has several options to allow you to adjust the tokenisation process. Documentation is available for the Tokenizer here.

# Define any additional characters that we want to filter out (ignore) from the text

additional_filters = '—’‘“”'

The Tokenizer has a filters keyword argument, that determines which characters will be filtered out from the text. The cell below shows the default characters that are filtered, to which we are adding our additional filters.

# Create a Tokenizer object

from tensorflow.keras.preprocessing.text import Tokenizer

tokenizer = Tokenizer(num_words=None, 
                      filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n' + additional_filters,
                      lower=True,
                      split=' ',
                      char_level=False,
                      oov_token='<UNK>',
                      document_count=0)

In all, the Tokenizer has the following keyword arguments:

num_words: int. the maximum number of words to keep, based on word frequency. Only the most common num_words-1 words will be kept. If set to None, all words are kept.

filters: str. Each element is a character that will be filtered from the texts. Defaults to all punctuation (inc. tabs and line breaks), except '.

lower: bool. Whether to convert the texts to lowercase. Defaults to True.

split: str. Separator for word splitting. Defaults to ' '.

char_level: bool. if True, every character will be treated as a token. Defaults to False.

oov_token: if given, it will be added to word_index and used to replace out-of-vocabulary words during sequence_to_text calls. Defaults to None.

Fit the Tokenizer to the text

We can now tokenize our text using the fit_on_texts method. This method takes a list of strings to tokenize, as we have prepared with sentence_strings.

# Build the Tokenizer vocabulary

tokenizer.fit_on_texts(sentence_strings)

The fit_on_texts method could also take a list of lists of strings, and in this case it would recognise each element of each sublist as an individual token.

Get the Tokenizer configuration

Now that the Tokenizer has ingested the data, we can see what it has extracted from the text by viewing its configuration.

# Get the tokenizer config as a python dict

tokenizer_config = tokenizer.get_config()
tokenizer_config.keys()

dict_keys(['num_words', 'filters', 'lower', 'split', 'char_level', 'oov_token', 'document_count', 'word_counts', 'word_docs', 'index_docs', 'index_word', 'word_index'])

# View the word_counts entry

tokenizer_config['word_counts']

'{"chapter": 19, "i": 1195, "three": 79, "invalids": 1, "sufferings": 2, "of": 1487, "george": 306, "and": 3375, "harris": 314, "a": 1696, "victim": 3, "to": 1785, "one": 241, "hundred": 19, "seven": 15, "fatal": 1, "maladies": 2, "useful": 2, "prescriptions": 1, "cure": 1, "for": 525, "liver": 8, "complaint": 2, "in": 976, "children": 13, "we": 866, "agree": 2, "that": 944, "are": 181, "overworked": 1, "need": 7, "rest": 14, "week": 19, "on": 501, "the": 3603, "rolling": 1, "deep": 18, "suggests": 2, "river": 165, "montmorency": 61, "lodges": 1, "an": 186, "objection": 4, "original": 5, "motion": 3, "carried": 7, "by": 209, "majority": 3, "there": 326, "were": 238, "four": 39, "usgeorge": 1, "william": 4, "samuel": 1, "myself": 56, "sitting": 26, "my": 192, "room": 43, "smoking": 6, "talking": 10, "about": 223, "how": 92, "bad": 15, "werebad": 1, "from": 218, "medical": 6, "point": 18, "view": 16, "mean": 14, "course": 40, "all": 353, "feeling": 8, "seedy": 1, "getting": 29, "quite": 72, "nervous": 14, "it": 1405, "said": 375, "he": 917, "felt": 38, "such": 56, "extraordinary": 8, "fits": 4, "giddiness": 2, "come": 110, "over": 146, "him": 330, "at": 514, "times": 22, "hardly": 11, "knew": 41, "what": 204, "was": 777, "doing": 31, "then": 272, "had": 585, "too": 67, "with": 490, "me": 186, "out": 305, "order": 8, "because": 36, "just": 81, "been": 190, "reading": 26, "patent": 2, "pill": 2, "circular": 2, "which": 101, "detailed": 1, "various": 7, "symptoms": 3, "man": 164, "could": 153, "tell": 43, "when": 267, "his": 382, "them": 260, "is": 444, "most": 42, "thing": 91, "but": 357, "never": 113, "read": 11, "medicine": 1, "advertisement": 2, "without": 51, "being": 64, "impelled": 1, "conclusion": 5, "am": 31, "suffering": 6, "particular": 4, "disease": 5, "therein": 3, "dealt": 1, "its": 91, "virulent": 1, "form": 3, "diagnosis": 1, "seems": 19, "every": 47, "case": 19, "correspond": 1, "exactly": 13, "sensations": 1, "have": 338, "ever": 65, "picture": 82, "book": 6, "remember": 18, "going": 76, "british": 3, "museum": 1, "day": 95, "up": 482, "treatment": 1, "some": 107, "slight": 3, "ailment": 1, "touchhay": 1, "fever": 7, "fancy": 18, "got": 163, "down": 194, "came": 94, "unthinking": 1, "moment": 35, "idly": 1, "turned": 31, "leaves": 6, "began": 34, "indolently": 1, "study": 6, "diseases": 4, "generally": 11, "forget": 13, "first": 80, "distemper": 1, "plunged": 2, "intosome": 1, "fearful": 6, "devastating": 1, "scourge": 1, "knowand": 1, "before": 91, "glanced": 1, "half": 80, "list": 6, "premonitory": 1, "borne": 3, "upon": 98, "fairly": 4, "sat": 46, "awhile": 2, "frozen": 1, "horror": 1, "listlessness": 1, "despair": 1, "again": 67, "pages": 2, "typhoid": 3, "feverread": 1, "symptomsdiscovered": 1, "must": 56, "months": 9, "knowing": 8, "itwondered": 1, "else": 21, "st": 9, "vitus": 1, "s": 342, "dancefound": 1, "as": 386, "expected": 9, "get": 179, "interested": 4, "determined": 13, "sift": 1, "bottom": 17, "so": 275, "started": 25, "alphabeticallyread": 1, "ague": 1, "learnt": 4, "sickening": 1, "acute": 1, "stage": 10, "would": 357, "commence": 3, "another": 63, "fortnight": 6, "bright": 14, "relieved": 1, "find": 31, "only": 92, "modified": 2, "far": 27, "concerned": 4, "might": 44, "live": 14, "years": 33, "cholera": 2, "severe": 5, "complications": 1, "diphtheria": 1, "seemed": 97, "born": 8, "plodded": 1, "conscientiously": 2, "through": 52, "twenty": 17, "six": 26, "letters": 2, "malady": 2, "conclude": 1, "not": 386, "housemaid": 5, "knee": 5, "rather": 37, "hurt": 4, "this": 185, "somehow": 13, "be": 324, "sort": 38, "why": 69, "hadn": 11, "t": 282, "invidious": 1, "reservation": 1, "after": 108, "while": 72, "however": 37, "less": 13, "grasping": 4, "feelings": 5, "prevailed": 2, "reflected": 2, "other": 128, "known": 14, "pharmacology": 1, "grew": 8, "selfish": 2, "do": 147, "gout": 1, "malignant": 1, "appear": 5, "seized": 5, "aware": 1, "zymosis": 2, "evidently": 18, "boyhood": 1, "no": 124, "more": 134, "concluded": 3, "nothing": 31, "matter": 37, "pondered": 2, "thought": 119, "interesting": 10, "acquisition": 1, "should": 94, "class": 7, "students": 3, "walk": 22, "hospitals": 1, "if": 189, "they": 459, "hospital": 1, "round": 140, "take": 88, "their": 115, "diploma": 1, "wondered": 7, "long": 48, "tried": 35, "examine": 3, "pulse": 4, "feel": 41, "any": 95, "sudden": 2, "start": 17, "off": 85, "pulled": 21, "watch": 21, "timed": 1, "made": 69, "forty": 11, "minute": 10, "heart": 16, "stopped": 16, "beating": 3, "since": 15, "induced": 1, "opinion": 9, "time": 138, "cannot": 15, "account": 8, "patted": 1, "front": 12, "call": 20, "waist": 1, "head": 50, "went": 101, "bit": 52, "each": 61, "side": 55, "little": 113, "way": 102, "back": 115, "or": 183, "hear": 24, "anything": 39, "look": 52, "tongue": 3, "stuck": 10, "go": 131, "shut": 7, "eye": 12, "see": 97, "tip": 2, "gain": 4, "certain": 9, "than": 78, "scarlet": 2, "walking": 11, "stick": 7, "walked": 6, "into": 162, "happy": 12, "healthy": 2, "crawled": 1, "decrepit": 1, "wreck": 3, "old": 125, "chum": 2, "mine": 14, "feels": 8, "looks": 9, "talks": 1, "weather": 17, "m": 35, "ill": 17, "good": 104, "turn": 17, "now": 101, "doctor": 3, "wants": 6, "practice": 11, "shall": 18, "will": 87, "seventeen": 1, "your": 96, "ordinary": 5, "commonplace": 6, "patients": 1, "two": 124, "straight": 16, "saw": 39, "well": 81, "you": 643, "dear": 8, "boy": 56, "telling": 10, "life": 48, "brief": 4, "pass": 24, "away": 85, "finished": 14, "fact": 16, "remains": 4, "everything": 27, "told": 53, "discover": 2, "opened": 4, "looked": 51, "clutched": 2, "hold": 17, "wrist": 1, "hit": 6, "chest": 6, "wasn": 7, "expecting": 1, "ita": 1, "cowardly": 2, "itand": 1, "immediately": 12, "afterwards": 23, "butted": 1, "wrote": 3, "prescription": 2, "folded": 3, "gave": 30, "put": 89, "pocket": 7, "did": 154, "open": 14, "took": 65, "nearest": 2, "chemist": 4, "handed": 4, "didn": 43, "keep": 28, "co": 1, "operative": 1, "stores": 4, "family": 16, "hotel": 14, "combined": 3, "able": 19, "oblige": 1, "hampers": 5, "ran": 7, "1": 5, "lb": 1, "beefsteak": 5, "pt": 1, "bitter": 7, "beer": 10, "6": 2, "hours": 18, "ten": 37, "mile": 25, "morning": 67, "bed": 46, "11": 3, "sharp": 4, "night": 75, "don": 96, "stuff": 6, "things": 67, "understand": 16, "followed": 16, "directions": 5, "resultspeaking": 1, "myselfthat": 1, "preserved": 1, "still": 40, "present": 12, "instance": 5, "beyond": 7, "mistake": 8, "chief": 3, "among": 14, "general": 16, "disinclination": 1, "work": 69, "kind": 16, "suffer": 1, "can": 111, "earliest": 2, "infancy": 1, "martyr": 1, "left": 53, "know": 114, "science": 1, "advanced": 3, "state": 10, "used": 27, "laziness": 2, "skulking": 1, "devil": 1, "say": 71, "something": 37, "living": 15, "give": 41, "pills": 2, "clumps": 2, "strange": 22, "may": 32, "those": 54, "often": 16, "cured": 1, "mefor": 1, "clump": 1, "effect": 6, "make": 53, "anxious": 5, "wanted": 40, "done": 40, "further": 18, "loss": 1, "whole": 40, "box": 3, "does": 44, "sothose": 1, "simple": 16, "fashioned": 2, "remedies": 1, "sometimes": 14, "efficacious": 1, "dispensary": 1, "hour": 38, "describing": 2, "our": 199, "explained": 9, "us": 220, "stood": 20, "hearth": 1, "rug": 4, "clever": 4, "powerful": 3, "piece": 6, "acting": 1, "illustrative": 1, "fancies": 1, "really": 43, "mrs": 18, "poppets": 4, "knocked": 6, "door": 23, "ready": 17, "supper": 37, "smiled": 3, "sadly": 1, "supposed": 4, "better": 27, "try": 28, "swallow": 3, "stomach": 7, "kept": 21, "check": 1, "brought": 17, "tray": 1, "drew": 17, "table": 8, "toyed": 1, "steak": 2, "onions": 3, "rhubarb": 1, "tart": 4, "very": 125, "weak": 10, "interest": 12, "whatever": 9, "foodan": 1, "unusual": 3, "meand": 2, "want": 72, "cheese": 10, "duty": 6, "refilled": 1, "glasses": 3, "lit": 12, "pipes": 8, "resumed": 1, "discussion": 3, "health": 3, "actually": 3, "none": 9, "sure": 19, "unanimous": 1, "itwhatever": 1, "washad": 1, "overwork": 1, "complete": 4, "change": 15, "overstrain": 1, "brains": 1, "has": 96, "produced": 6, "depression": 3, "throughout": 4, "system": 3, "scene": 11, "absence": 3, "necessity": 3, "restore": 1, "mental": 2, "equilibrium": 1, "cousin": 8, "who": 149, "usually": 4, "described": 3, "charge": 7, "sheet": 3, "student": 1, "naturally": 7, "somewhat": 9, "physicianary": 1, "putting": 5, "agreed": 10, "suggested": 15, "seek": 1, "retired": 1, "world": 32, "spot": 21, "madding": 1, "crowd": 13, "dream": 10, "sunny": 9, "drowsy": 2, "lanessome": 1, "forgotten": 6, "nook": 4, "hidden": 1, "fairies": 1, "reach": 14, "noisy": 4, "worldsome": 1, "quaint": 10, "perched": 1, "eyrie": 1, "cliffs": 1, "whence": 1, "surging": 1, "waves": 1, "nineteenth": 5, "century": 8, "sound": 10, "faint": 7, "humpy": 1, "place": 44, "meant": 9, "where": 83, "everybody": 12, "eight": 13, "o": 16, "clock": 12, "couldn": 22, "referee": 1, "love": 11, "money": 7, "miles": 28, "baccy": 1, "beat": 5, "sea": 23, "trip": 24, "objected": 4, "strongly": 3, "couple": 18, "wicked": 6, "monday": 6, "idea": 36, "implanted": 1, "bosom": 6, "enjoy": 6, "yourself": 9, "wave": 4, "airy": 1, "adieu": 1, "boys": 11, "shore": 7, "light": 35, "biggest": 2, "pipe": 11, "swagger": 1, "deck": 4, "captain": 5, "cook": 5, "sir": 22, "francis": 1, "drake": 1, "christopher": 1, "columbus": 1, "rolled": 9, "tuesday": 3, "wish": 11, "wednesday": 2, "thursday": 2, "friday": 4, "dead": 13, "saturday": 6, "beef": 11, "tea": 29, "sit": 29, "answer": 12, "wan": 1, "sweet": 21, "smile": 9, "hearted": 7, "people": 90, "ask": 15, "sunday": 4, "begin": 17, "solid": 1, "food": 6, "bag": 15, "umbrella": 9, "hand": 43, "stand": 23, "gunwale": 3, "waiting": 19, "step": 9, "ashore": 1, "thoroughly": 1, "like": 125, "brother": 6, "law": 5, "short": 10, "once": 57, "benefit": 1, "return": 7, "berth": 1, "london": 12, "liverpool": 7, "sell": 2, "ticket": 4, "offered": 3, "town": 32, "tremendous": 3, "reduction": 1, "eventually": 4, "sold": 3, "eighteenpence": 1, "bilious": 1, "looking": 46, "youth": 2, "advised": 2, "men": 56, "exercise": 7, "pressing": 2, "affectionately": 1, "ll": 30, "enough": 41, "last": 71, "lifetime": 2, "ship": 5, "turning": 10, "somersaults": 1, "dry": 9, "land": 19, "himselfmy": 1, "lawcame": 1, "train": 12, "north": 1, "western": 3, "railway": 7, "fellow": 18, "voyage": 2, "coast": 3, "steward": 3, "whether": 19, "pay": 4, "meal": 6, "arrange": 3, "beforehand": 4, "series": 1, "recommended": 2, "latter": 2, "much": 74, "cheaper": 2, "pounds": 8, "five": 45, "breakfast": 20, "fish": 35, "grill": 1, "lunch": 10, "consisted": 1, "courses": 1, "dinner": 7, "sixsoup": 1, "entree": 1, "joint": 1, "poultry": 1, "salad": 1, "sweets": 1, "dessert": 1, "meat": 7, "friend": 32, "close": 14, "pound": 6, "job": 10, "hearty": 4, "eater": 1, "sheerness": 1, "hungry": 5, "contented": 4, "himself": 59, "boiled": 7, "strawberries": 4, "cream": 5, "deal": 13, "during": 19, "afternoon": 15, "eating": 3, "weeks": 8, "neither": 4, "nor": 10, "eitherseemed": 1, "discontented": 2, "announcement": 1, "aroused": 1, "enthusiasm": 5, "within": 13, "worked": 9, "held": 18, "ropes": 3, "pleasant": 21, "odour": 4, "hot": 7, "ham": 1, "mingled": 4, "fried": 1, "greens": 1, "greeted": 3, "ladder": 4, "oily": 5, "feeble": 4, "reply": 8, "quick": 5, "propped": 1, "leeward": 1, "next": 28, "days": 33, "lived": 8, "blameless": 3, "thin": 4, "biscuits": 4, "soda": 1, "water": 90, "towards": 14, "uppish": 2, "toast": 3, "gorging": 1, "chicken": 2, "broth": 1, "steamed": 1, "landing": 9, "gazed": 4, "regretfully": 1, "she": 107, "goes": 15, "worth": 16, "board": 16, "belongs": 1, "haven": 10, "given": 22, "set": 25, "face": 24, "against": 45, "own": 30, "queer": 2, "afraid": 14, "right": 63, "advise": 2, "think": 62, "both": 38, "always": 47, "mystery": 4, "managed": 8, "sick": 5, "seasaid": 1, "purpose": 8, "affectationsaid": 1, "wished": 10, "anecdotes": 2, "gone": 31, "across": 27, "channel": 2, 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The above is the number of times each word appears in the corpus. As you can see, the word counts dictionaries in the config are serialized into plain JSON. The loads() method in the Python library json can be used to convert this JSON string into a dictionary.

# Save the word_counts as a python dictionary

import json

word_counts = json.loads(tokenizer_config['word_counts'])

The word index is derived from the word_counts.

# View the word_index entry

tokenizer_config['word_index']

'{"<UNK>": 1, "the": 2, "and": 3, "to": 4, "a": 5, "of": 6, "it": 7, "i": 8, "in": 9, "that": 10, "he": 11, "we": 12, "was": 13, "you": 14, "had": 15, "for": 16, "at": 17, "on": 18, "with": 19, "up": 20, "they": 21, "is": 22, "as": 23, "not": 24, "his": 25, "said": 26, "but": 27, "would": 28, "all": 29, "s": 30, "have": 31, "him": 32, "there": 33, "be": 34, "harris": 35, "george": 36, "out": 37, "t": 38, "so": 39, "then": 40, "when": 41, "them": 42, "one": 43, "were": 44, "about": 45, "us": 46, "from": 47, "by": 48, "what": 49, "our": 50, "boat": 51, "down": 52, "my": 53, "been": 54, "if": 55, "an": 56, "me": 57, "this": 58, "or": 59, "are": 60, "get": 61, "river": 62, "man": 63, "got": 64, "into": 65, "did": 66, "could": 67, "who": 68, "do": 69, "over": 70, "round": 71, "time": 72, "more": 73, "go": 74, "other": 75, "old": 76, "very": 77, "like": 78, "no": 79, "two": 80, "thought": 81, "their": 82, "back": 83, "know": 84, "never": 85, "little": 86, "can": 87, "come": 88, "after": 89, "some": 90, "she": 91, "good": 92, "way": 93, "which": 94, "went": 95, "now": 96, "her": 97, "upon": 98, "seemed": 99, "see": 100, "your": 101, "don": 102, "has": 103, "day": 104, "any": 105, "came": 106, "should": 107, "how": 108, "only": 109, "thing": 110, "its": 111, "before": 112, "people": 113, "water": 114, "put": 115, "take": 116, "will": 117, "off": 118, "away": 119, "where": 120, "picture": 121, "just": 122, "well": 123, "first": 124, "half": 125, "three": 126, "than": 127, "going": 128, "night": 129, "oh": 130, "much": 131, "quite": 132, "while": 133, "want": 134, "say": 135, "last": 136, "why": 137, "made": 138, "work": 139, "too": 140, "again": 141, "morning": 142, "things": 143, "ever": 144, "took": 145, "being": 146, "another": 147, "right": 148, "think": 149, "great": 150, "lock": 151, "montmorency": 152, "each": 153, "himself": 154, "once": 155, "young": 156, "myself": 157, "such": 158, "must": 159, "boy": 160, "men": 161, "side": 162, "those": 163, "told": 164, "left": 165, "make": 166, "bank": 167, "through": 168, "bit": 169, "look": 170, "without": 171, "looked": 172, "here": 173, "head": 174, "long": 175, "life": 176, "every": 177, "always": 178, "house": 179, "sat": 180, "bed": 181, "looking": 182, "five": 183, "against": 184, "under": 185, "might": 186, "does": 187, "place": 188, "let": 189, "same": 190, "asked": 191, "room": 192, "tell": 193, "didn": 194, "really": 195, "hand": 196, "most": 197, "end": 198, "knew": 199, "feel": 200, "give": 201, "enough": 202, "course": 203, "still": 204, "wanted": 205, "done": 206, "whole": 207, "minutes": 208, "four": 209, "anything": 210, "saw": 211, "felt": 212, "sort": 213, "hour": 214, "both": 215, "rather": 216, "however": 217, "matter": 218, "ten": 219, "something": 220, "supper": 221, "many": 222, "found": 223, "caught": 224, "dog": 225, "these": 226, "because": 227, "idea": 228, "evening": 229, "until": 230, "even": 231, "moment": 232, "tried": 233, "m": 234, "light": 235, "fish": 236, "began": 237, "years": 238, "days": 239, "may": 240, "world": 241, "town": 242, "friend": 243, "replied": 244, "line": 245, "doing": 246, "am": 247, "turned": 248, "find": 249, "nothing": 250, "gone": 251, "says": 252, "stop": 253, "song": 254, "home": 255, "ve": 256, "along": 257, "stream": 258, "mind": 259, "past": 260, "gave": 261, "ll": 262, "own": 263, "air": 264, "cold": 265, "full": 266, "heard": 267, "getting": 268, "tea": 269, "sit": 270, "sleep": 271, "taken": 272, "having": 273, "early": 274, "sight": 275, "behind": 276, "keep": 277, "try": 278, "miles": 279, "next": 280, "between": 281, "part": 282, "far": 283, "everything": 284, "used": 285, "better": 286, "across": 287, "till": 288, "wind": 289, "few": 290, "middle": 291, "sitting": 292, "reading": 293, "six": 294, "happened": 295, "ourselves": 296, "pretty": 297, "tow": 298, "started": 299, "mile": 300, "set": 301, "seen": 302, "nearly": 303, "hear": 304, "pass": 305, "trip": 306, "face": 307, "small": 308, "d": 309, "dogs": 310, "near": 311, "afterwards": 312, "door": 313, "sea": 314, "stand": 315, "met": 316, "themselves": 317, "ought": 318, "fine": 319, "above": 320, "friends": 321, "lady": 322, "times": 323, "walk": 324, "strange": 325, "couldn": 326, "sir": 327, "given": 328, "nose": 329, "eyes": 330, "rain": 331, "also": 332, "trying": 333, "together": 334, "dark": 335, "else": 336, "pulled": 337, "watch": 338, "kept": 339, "spot": 340, "sweet": 341, "pleasant": 342, "hard": 343, "care": 344, "wet": 345, "coming": 346, "thames": 347, "seem": 348, "itself": 349, "soon": 350, "call": 351, "stood": 352, "breakfast": 353, "nobody": 354, "yes": 355, "though": 356, "new": 357, "pull": 358, "re": 359, "nature": 360, "launch": 361, "chapter": 362, "hundred": 363, "week": 364, "seems": 365, "case": 366, "able": 367, "sure": 368, "waiting": 369, "land": 370, "whether": 371, "during": 372, "sad": 373, "makes": 374, "wrong": 375, "somebody": 376, "cat": 377, "high": 378, "clothes": 379, "top": 380, "passed": 381, "steam": 382, "reached": 383, "lines": 384, "deep": 385, "point": 386, "remember": 387, "fancy": 388, "evidently": 389, "shall": 390, "hours": 391, "further": 392, "mrs": 393, "couple": 394, "fellow": 395, "held": 396, "expression": 397, "feet": 398, "ago": 399, "pie": 400, "help": 401, "trouble": 402, "number": 403, "bridge": 404, "boats": 405, "sail": 406, "bottom": 407, "twenty": 408, "start": 409, "weather": 410, "ill": 411, "turn": 412, "hold": 413, "ready": 414, "brought": 415, "drew": 416, "begin": 417, "kingston": 418, "wake": 419, "either": 420, "sing": 421, "voice": 422, "king": 423, "silence": 424, "mother": 425, "street": 426, "called": 427, "upset": 428, "tom": 429, "chair": 430, "word": 431, "red": 432, "woman": 433, "marlow": 434, "hamper": 435, "girls": 436, "best": 437, "rowing": 438, "comic": 439, "view": 440, "heart": 441, "stopped": 442, "straight": 443, "fact": 444, "family": 445, "understand": 446, "followed": 447, "general": 448, "kind": 449, "often": 450, "simple": 451, "o": 452, "worth": 453, "board": 454, "around": 455, "comes": 456, "spirit": 457, "suddenly": 458, "legs": 459, "poor": 460, "wall": 461, "kettle": 462, "german": 463, "party": 464, "bow": 465, "father": 466, "trout": 467, "seven": 468, "bad": 469, "since": 470, "cannot": 471, "living": 472, "change": 473, "suggested": 474, "ask": 475, "bag": 476, "afternoon": 477, "goes": 478, "quiet": 479, "arms": 480, "fair": 481, "fixed": 482, "ah": 483, "glass": 484, "row": 485, "yards": 486, "altogether": 487, "show": 488, "drink": 489, "boating": 490, "church": 491, "cheeses": 492, "taking": 493, "real": 494, "opposite": 495, "village": 496, "towed": 497, "rest": 498, "mean": 499, "nervous": 500, "bright": 501, "live": 502, "known": 503, "mine": 504, "finished": 505, "open": 506, "hotel": 507, "among": 508, "sometimes": 509, "reach": 510, "close": 511, "towards": 512, "afraid": 513, "answered": 514, "run": 515, "low": 516, "singing": 517, "drop": 518, "believe": 519, "shout": 520, "business": 521, "inn": 522, "lost": 523, "language": 524, "canvas": 525, "oil": 526, "gentleman": 527, "later": 528, "inside": 529, "become": 530, "lovely": 531, "sculls": 532, "laughing": 533, "beautiful": 534, "making": 535, "stroke": 536, "fishing": 537, "island": 538, "john": 539, "children": 540, "exactly": 541, "forget": 542, "determined": 543, "somehow": 544, "less": 545, "crowd": 546, "eight": 547, "dead": 548, "deal": 549, "within": 550, "yet": 551, "position": 552, "leave": 553, "seeing": 554, "summer": 555, "bread": 556, "surprised": 557, "fellows": 558, "meet": 559, "slowly": 560, "grass": 561, "big": 562, "laugh": 563, "white": 564, "corner": 565, "heavy": 566, "mad": 567, "steadily": 568, "lay": 569, "wood": 570, "thirty": 571, "hang": 572, "hammer": 573, "rule": 574, "anybody": 575, "use": 576, "human": 577, "notice": 578, "dress": 579, "easy": 580, "oak": 581, "broken": 582, "added": 583, "strong": 584, "noticed": 585, "oxford": 586, "wallingford": 587, "abbey": 588, "streatley": 589, "front": 590, "eye": 591, "happy": 592, "immediately": 593, "present": 594, "interest": 595, "lit": 596, "everybody": 597, "clock": 598, "answer": 599, "london": 600, "train": 601, "second": 602, "respectable": 603, "except": 604, "outside": 605, "mere": 606, "instead": 607, "follow": 608, "third": 609, "death": 610, "sent": 611, "bring": 612, "podger": 613, "different": 614, "blue": 615, "packed": 616, "died": 617, "thinking": 618, "towing": 619, "late": 620, "eggs": 621, "quarter": 622, "nine": 623, "passing": 624, "suppose": 625, "hat": 626, "lie": 627, "art": 628, "diddle": 629, "pole": 630, "least": 631, "punt": 632, "hardly": 633, "read": 634, "generally": 635, "hadn": 636, "forty": 637, "walking": 638, "practice": 639, "scene": 640, "love": 641, "boys": 642, "pipe": 643, "wish": 644, "beef": 645, "plenty": 646, "indeed": 647, "save": 648, "won": 649, "decided": 650, "following": 651, "wild": 652, "silent": 653, "cry": 654, "woods": 655, "black": 656, "common": 657, "below": 658, "proper": 659, "earth": 660, "gentlemen": 661, "fight": 662, "settled": 663, "uncle": 664, "clear": 665, "merely": 666, "music": 667, "pair": 668, "hope": 669, "boots": 670, "question": 671, "pan": 672, "country": 673, "woke": 674, "whose": 675, "soul": 676, "wait": 677, "biggs": 678, "neighbourhood": 679, "slept": 680, "catch": 681, "sculling": 682, "funny": 683, "pulling": 684, "tin": 685, "talking": 686, "stage": 687, "interesting": 688, "minute": 689, "stuck": 690, "telling": 691, "beer": 692, "state": 693, "weak": 694, "cheese": 695, "agreed": 696, "dream": 697, "quaint": 698, "sound": 699, "short": 700, "turning": 701, "lunch": 702, "job": 703, "nor": 704, "haven": 705, "wished": 706, "bath": 707, "body": 708, "almost": 709, "struck": 710, "waters": 711, "story": 712, "difficult": 713, "fire": 714, "sufficient": 715, "method": 716, "ground": 717, "dozen": 718, "paper": 719, "standing": 720, "expect": 721, "mast": 722, "houses": 723, "stern": 724, "wonder": 725, "awful": 726, "conversation": 727, "threw": 728, "waited": 729, "style": 730, "jolly": 731, "break": 732, "carved": 733, "hampton": 734, "picturesque": 735, "road": 736, "walls": 737, "stone": 738, "map": 739, "judge": 740, "hair": 741, "banjo": 742, "subject": 743, "pianist": 744, "goring": 745, "spoke": 746, "lying": 747, "mustard": 748, "months": 749, "st": 750, "expected": 751, "opinion": 752, "certain": 753, "looks": 754, "explained": 755, "whatever": 756, "none": 757, "somewhat": 758, "sunny": 759, "meant": 760, "yourself": 761, "rolled": 762, "smile": 763, "umbrella": 764, "step": 765, "dry": 766, "worked": 767, "landing": 768, "curious": 769, "easily": 770, "dangerous": 771, "gets": 772, "fresh": 773, "child": 774, "grows": 775, "thoughts": 776, "trees": 777, "knows": 778, "whisky": 779, "banks": 780, "stove": 781, "rich": 782, "jam": 783, "therefore": 784, "large": 785, "longer": 786, "thus": 787, "coat": 788, "doesn": 789, "nail": 790, "pride": 791, "empty": 792, "green": 793, "stretch": 794, "french": 795, "washing": 796, "frying": 797, "quietly": 798, "carrying": 799, "result": 800, "fell": 801, "noble": 802, "ain": 803, "exciting": 804, "watched": 805, "cried": 806, "roared": 807, "grand": 808, "rugs": 809, "whom": 810, "steering": 811, "c\\u00e6sar": 812, "faces": 813, "school": 814, "dull": 815, "length": 816, "chance": 817, "success": 818, "continued": 819, "boards": 820, "running": 821, "takes": 822, "push": 823, "herr": 824, "boschen": 825, "manner": 826, "weir": 827, "henry": 828, "hook": 829, "henley": 830, "stew": 831, "play": 832, "swans": 833, "jack": 834, "hired": 835, "liver": 836, "feeling": 837, "extraordinary": 838, "order": 839, "knowing": 840, "born": 841, "grew": 842, "account": 843, "feels": 844, "dear": 845, "mistake": 846, "table": 847, "pipes": 848, "cousin": 849, "century": 850, "pounds": 851, "weeks": 852, "reply": 853, "lived": 854, "managed": 855, "purpose": 856, "rough": 857, "butter": 858, "tone": 859, "city": 860, "sun": 861, "tent": 862, "playing": 863, "voices": 864, "die": 865, "rising": 866, "damp": 867, "simply": 868, "fool": 869, "isn": 870, "dressed": 871, "ladies": 872, "killed": 873, "shillings": 874, "bathing": 875, "mr": 876, "spring": 877, "blow": 878, "clean": 879, "iron": 880, "throw": 881, "name": 882, "eat": 883, "huge": 884, "liked": 885, "trousers": 886, "married": 887, "shop": 888, "rose": 889, "laughed": 890, "yours": 891, "please": 892, "rush": 893, "wife": 894, "speak": 895, "touch": 896, "others": 897, "window": 898, "hands": 899, "twelve": 900, "seat": 901, "appeared": 902, "tail": 903, "lot": 904, "hurry": 905, "vision": 906, "joined": 907, "thoughtful": 908, "slipped": 909, "english": 910, "maze": 911, "year": 912, "calm": 913, "peaceful": 914, "queen": 915, "famous": 916, "desire": 917, "herself": 918, "tree": 919, "shirt": 920, "spare": 921, "surprise": 922, "played": 923, "alone": 924, "rushed": 925, "scull": 926, "sorry": 927, "islands": 928, "barons": 929, "need": 930, "carried": 931, "various": 932, "fever": 933, "class": 934, "wondered": 935, "shut": 936, "stick": 937, "wasn": 938, "pocket": 939, "ran": 940, "bitter": 941, "beyond": 942, "stomach": 943, "charge": 944, "naturally": 945, "faint": 946, "money": 947, "shore": 948, "hearted": 949, "return": 950, "liverpool": 951, "exercise": 952, "railway": 953, "dinner": 954, "meat": 955, "boiled": 956, "hot": 957, "hi": 958, "thrown": 959, "lean": 960, "suit": 961, "credit": 962, "scenery": 963, "discussed": 964, "camping": 965, "shadows": 966, "palace": 967, "talk": 968, "words": 969, "fall": 970, "asleep": 971, "beneath": 972, "tears": 973, "regarded": 974, "places": 975, "fix": 976, "gives": 977, "ass": 978, "bill": 979, "evident": 980, "reason": 981, "happen": 982, "march": 983, "irish": 984, "cut": 985, "handkerchief": 986, "spent": 987, "craft": 988, "ha": 989, "crown": 990, "beg": 991, "brush": 992, "tooth": 993, "anywhere": 994, "pack": 995, "twice": 996, "mid": 997, "wash": 998, "dirty": 999, "rate": 1000, "station": 1001, "already": 1002, "gathered": 1003, "keeping": 1004, "cheerful": 1005, "spread": 1006, "headed": 1007, "wrapped": 1008, "edge": 1009, "stepped": 1010, "wouldn": 1011, "exclaimed": 1012, "particularly": 1013, "whenever": 1014, "beds": 1015, "luggage": 1016, "shouted": 1017, "certainly": 1018, "fighting": 1019, "silly": 1020, "picnic": 1021, "matters": 1022, "pointed": 1023, "blood": 1024, "lies": 1025, "windsor": 1026, "somewhere": 1027, "court": 1028, "glorious": 1029, "dainty": 1030, "sunlight": 1031, "roman": 1032, "perhaps": 1033, "rude": 1034, "firmly": 1035, "quickly": 1036, "drawing": 1037, "remarkable": 1038, "lovers": 1039, "gas": 1040, "path": 1041, "ghosts": 1042, "fear": 1043, "keeper": 1044, "tomb": 1045, "graves": 1046, "folk": 1047, "offer": 1048, "coats": 1049, "shock": 1050, "tombs": 1051, "park": 1052, "songs": 1053, "chorus": 1054, "slossenn": 1055, "backwater": 1056, "laid": 1057, "thinks": 1058, "glance": 1059, "distance": 1060, "hers": 1061, "staines": 1062, "effort": 1063, "pain": 1064, "hall": 1065, "washed": 1066, "worlds": 1067, "sailing": 1068, "broke": 1069, "landlord": 1070, "locks": 1071, "bisham": 1072, "bull": 1073, "potatoes": 1074, "boatman": 1075, "mud": 1076, "smoking": 1077, "medical": 1078, "suffering": 1079, "book": 1080, "leaves": 1081, "study": 1082, "fearful": 1083, "list": 1084, "fortnight": 1085, "walked": 1086, "wants": 1087, "commonplace": 1088, "hit": 1089, "chest": 1090, "stuff": 1091, "effect": 1092, "piece": 1093, "knocked": 1094, "duty": 1095, "produced": 1096, "forgotten": 1097, "wicked": 1098, "monday": 1099, "bosom": 1100, "enjoy": 1101, "saturday": 1102, "food": 1103, "brother": 1104, "meal": 1105, "pound": 1106, "tied": 1107, "leaning": 1108, "overboard": 1109, "loved": 1110, "centre": 1111, "inns": 1112, "golden": 1113, "dim": 1114, "grey": 1115, "stars": 1116, "musical": 1117, "fond": 1118, "glad": 1119, "nice": 1120, "becomes": 1121, "indignantly": 1122, "methylated": 1123, 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"whoever": 6220, "hercules": 6221, "unavailing": 6222, "captor": 6223, "regained": 6224, "emerged": 6225, "stammered": 6226, "confusedly": 6227, "relation": 6228, "outright": 6229, "toothough": 6230, "rounders": 6231, "sport": 6232, "yare": 6233, "luff": 6234, "luffed": 6235, "hurricane": 6236, "hectori": 6237, "namewent": 6238, "funerals": 6239, "boom": 6240, "ships": 6241, "sopping": 6242, "vexing": 6243, "downmore": 6244, "sideways": 6245, "likeand": 6246, "painter": 6247, "arriving": 6248, "phenomenon": 6249, "obstinacy": 6250, "suicide": 6251, "disappoint": 6252, "exhausting": 6253, "seafaring": 6254, "lashed": 6255, "main": 6256, "jib": 6257, "squalls": 6258, "easiest": 6259, "contrived": 6260, "embrace": 6261, "travelled": 6262, "sailed": 6263, "heeled": 6264, "righted": 6265, "miracle": 6266, "ploughed": 6267, "according": 6268, "bladder": 6269, "surfeit": 6270, "saila": 6271, "sailand": 6272, "rescued": 6273, "ignominious": 6274, "tipping": 6275, "xvi": 6276, "shirk": 6277, "anchored": 6278, "warships": 6279, "kennet": 6280, "ravage": 6281, "praying": 6282, "westminster": 6283, "courts": 6284, "lawyers": 6285, "besieged": 6286, "essex": 6287, "prince": 6288, "james": 6289, "benedictine": 6290, "gaunt": 6291, "blanche": 6292, "confoundedly": 6293, "impertinent": 6294, "tilehurst": 6295, "hardwick": 6296, "bowls": 6297, "habitues": 6298, "exhibitions": 6299, "loose": 6300, "unreasonable": 6301, "neared": 6302, "blanched": 6303, "prematurely": 6304, "stamp": 6305, "pinch": 6306, "poverty": 6307, "uswe": 6308, "coroners": 6309, "courtssome": 6310, "deceivedor": 6311, "sinnedsome": 6312, "thenand": 6313, "closed": 6314, "millstone": 6315, "drudgery": 6316, "procured": 6317, "remainder": 6318, "unitedly": 6319, "bond": 6320, "plainer": 6321, "spectre": 6322, "respectability": 6323, "erring": 6324, "outcast": 6325, "childhad": 6326, "betraying": 6327, "chocolate": 6328, "bitterest": 6329, "centred": 6330, "hug": 6331, "stabs": 6332, "gall": 6333, "shadowed": 6334, "deeps": 6335, "dusky": 6336, "robe": 6337, "sinned": 6338, "thingssinned": 6339, "sinners": 6340, "woo": 6341, "barrier": 6342, "affirm": 6343, "villages": 6344, "choice": 6345, "xvii": 6346, "fisher": 6347, "superintendence": 6348, "wearable": 6349, "themwell": 6350, "cleaner": 6351, "dirt": 6352, "washerwoman": 6353, "excavating": 6354, "abounds": 6355, "roach": 6356, "eels": 6357, "minnows": 6358, "district": 6359, "shoals": 6360, "itnot": 6361, "thrower": 6362, "gumption": 6363, "imagination": 6364, "shocker": 6365, "reporter": 6366, "invention": 6367, "possess": 6368, "ability": 6369, "fabrication": 6370, "tyro": 6371, "circumstantial": 6372, "embellishing": 6373, "probability": 6374, "scrupulousalmost": 6375, "pedanticveracity": 6376, "experienced": 6377, "weighing": 6378, "measuring": 6379, "appropriates": 6380, "puff": 6381, "lets": 6382, "brag": 6383, "momentary": 6384, "lull": 6385, "removes": 6386, "knocks": 6387, "calmly": 6388, "tinge": 6389, "bitterness": 6390, "refills": 6391, "continues": 6392, "shouldn": 6393, "literally": 6394, "nothingexcept": 6395, "hourhalf": 6396, "snap": 6397, "surprisedi": 6398, "astonishment": 6399, "buggles": 6400, "missus": 6401, "listens": 6402, "hauls": 6403, "add": 6404, "threeat": 6405, "increased": 6406, "percentage": 6407, "simplify": 6408, "moderation": 6409, "disadvantage": 6410, "anglers": 6411, "jealous": 6412, "fishyou": 6413, "foundation": 6414, "lately": 6415, "committee": 6416, "association": 6417, "adoption": 6418, "older": 6419, "sipping": 6420, "indigestion": 6421, "shave": 6422, "pipeclaying": 6423, "sincegeorge": 6424, "ensued": 6425, "chimney": 6426, "fascinated": 6427, "monstrous": 6428, "cod": 6429, "uncommon": 6430, "ounces": 6431, "minnow": 6432, "remarkably": 6433, "genial": 6434, "lockleastways": 6435, "thenone": 6436, "whopper": 6437, "aback": 6438, "bleak": 6439, "individual": 6440, "comer": 6441, "forgive": 6442, "weperfect": 6443, "neighbourhoodare": 6444, "thingmost": 6445, "guessing": 6446, "scale": 6447, "histories": 6448, "immensely": 6449, "bates": 6450, "muggles": 6451, "jones": 6452, "billy": 6453, "maunders": 6454, "honest": 6455, "plays": 6456, "wag": 6457, "bringing": 6458, "whacking": 6459, "astonishing": 6460, "marvelled": 6461, "alarm": 6462, "fragmentsi": 6463, "paris": 6464, "xviii": 6465, "photographed": 6466, "drowning": 6467, "demoralizing": 6468, "extraordinarily": 6469, "cleve": 6470, "longest": 6471, "teddington": 6472, "eights": 6473, "regretted": 6474, "seeker": 6475, "depths": 6476, "sinking": 6477, "strip": 6478, "widens": 6479, "prison": 6480, "welcoming": 6481, "eyed": 6482, "287": 6483, "exchanged": 6484, "fairyland": 6485, "speculative": 6486, "hurriedly": 6487, "ruffle": 6488, "rakish": 6489, "assuming": 6490, "affability": 6491, "fan": 6492, "frowning": 6493, "agility": 6494, "forehead": 6495, "wistfulness": 6496, "cynicism": 6497, "eventful": 6498, "rightat": 6499, "altered": 6500, "squinted": 6501, "noses": 6502, "pushed": 6503, "stentorian": 6504, "woodwork": 6505, "tilting": 6506, "ordained": 6507, "madly": 6508, "undoubtedly": 6509, "foreground": 6510, "bits": 6511, "insignificant": 6512, "paltry": 6513, "compared": 6514, "subscribe": 6515, "bespoke": 6516, "rescinded": 6517, "negative": 6518, "unpleasantness": 6519, "tenths": 6520, "britons": 6521, "evicted": 6522, "replaced": 6523, "trace": 6524, "sweeping": 6525, "masons": 6526, "halted": 6527, "crumbled": 6528, "saxons": 6529, "normans": 6530, "walled": 6531, "fortified": 6532, "siege": 6533, "fairfax": 6534, "razed": 6535, "hilly": 6536, "varied": 6537, "paddling": 6538, "delightfully": 6539, "drowsiness": 6540, "caer": 6541, "doren": 6542, "recent": 6543, "capital": 6544, "nods": 6545, "hampden": 6546, "wonderfully": 6547, "exception": 6548, "quaintest": 6549, "gables": 6550, "timeyfied": 6551, "divinely": 6552, "bump": 6553, "unexpected": 6554, "operation": 6555, "impossibility": 6556, "surprising": 6557, "featherbed": 6558, "monotonous": 6559, "culhalm": 6560, "lockthe": 6561, "coldest": 6562, "deepest": 6563, "riverthe": 6564, "improves": 6565, "typical": 6566, "smaller": 6567, "orderquiet": 6568, "eminently": 6569, "desperately": 6570, "prides": 6571, "compare": 6572, "doubtful": 6573, "sanctified": 6574, "brew": 6575, "nowadays": 6576, "nicholas": 6577, "monument": 6578, "blackwall": 6579, "jane": 6580, "helen": 6581, "1637": 6582, "issue": 6583, "loins": 6584, "lacking": 6585, "numbered": 6586, "ninety": 6587, "leefive": 6588, "mayor": 6589, "abingdonwas": 6590, "benefactor": 6591, "overcrowded": 6592, "courteney": 6593, "visit": 6594, "viewed": 6595, "tuesdays": 6596, "thursdays": 6597, "curiosities": 6598, "pool": 6599, "lasher": 6600, "undercurrent": 6601, "marks": 6602, "diving": 6603, "favourite": 6604, "brethren": 6605, "disappointing": 6606, "fairish": 6607, "drives": 6608, "college": 6609, "exceptionally": 6610, "irritable": 6611, "mishaps": 6612, "occur": 6613, "indulgently": 6614, "behave": 6615, "mildest": 6616, "gentlest": 6617, "imaginable": 6618, "unfortunate": 6619, "sculler": 6620, "brutally": 6621, "amiable": 6622, "demoralising": 6623, "calmer": 6624, "regret": 6625, "xix": 6626, "beauties": 6627, "changes": 6628, "yearnings": 6629, "flight": 6630, "whichever": 6631, "squaring": 6632, "contemplate": 6633, "boatunless": 6634, "handled": 6635, "rarely": 6636, "sink": 6637, "arrangementsor": 6638, "allto": 6639, "ornamental": 6640, "airs": 6641, "chiefone": 6642, "recommendation": 6643, "modest": 6644, "likes": 6645, "hides": 6646, "boata": 6647, "names": 6648, "struggling": 6649, "antediluvian": 6650, "recently": 6651, "carelessly": 6652, "relics": 6653, "surmise": 6654, "geologist": 6655, "pooh": 6656, "poohed": 6657, "meanest": 6658, "category": 6659, "include": 6660, "evidences": 6661, "proving": 6662, "preglacial": 6663, "pre": 6664, "adamite": 6665, "humorous": 6666, "reward": 6667, "persisted": 6668, "sharply": 6669, "tub": 6670, "builder": 6671, "boatwas": 6672, "selected": 6673, "whitewashed": 6674, "tarredhad": 6675, "distinguish": 6676, "offended": 6677, "stock": 6678, "pasted": 6679, "shabbier": 6680, "prayers": 6681, "loan": 6682, "remnant": 6683, "homeward": 6684, "drizzle": 6685, "riverwith": 6686, "wavelets": 6687, "gilding": 6688, "beech": 6689, "chasing": 6690, "flinging": 6691, "diamonds": 6692, "wheels": 6693, "kisses": 6694, "wantoning": 6695, "silvering": 6696, "bridges": 6697, "townlet": 6698, "inlet": 6699, "gleaming": 6700, "gloryis": 6701, "riverchill": 6702, "ceaseless": 6703, "weeping": 6704, "shrouded": 6705, "mists": 6706, "vapour": 6707, "reproachful": 6708, "actions": 6709, "neglectedis": 6710, "regrets": 6711, "melancholy": 6712, "enthusiastic": 6713, "storm": 6714, "soberly": 6715, "hoisted": 6716, "poured": 6717, "persistency": 6718, "clammy": 6719, "veal": 6720, "apt": 6721, "whitebait": 6722, "cutlet": 6723, "babbled": 6724, "soles": 6725, "sauce": 6726, "nap": 6727, "fourpencegeorge": 6728, "cardsand": 6729, "gambling": 6730, "breeds": 6731, "revenge": 6732, "saddest": 6733, "volunteers": 6734, "aldershot": 6735, "cripple": 6736, "introduce": 6737, "sciatica": 6738, "fevers": 6739, "chills": 6740, "lung": 6741, "frolicksome": 6742, "vein": 6743, "extracted": 6744, "weep": 6745, "yearnful": 6746, "unutterable": 6747, "jaw": 6748, "abandon": 6749, "rendering": 6750, "bedthat": 6751, "undressed": 6752, "slumber": 6753, "pour": 6754, "mackintoshes": 6755, "usi": 6756, "myselfmade": 6757, "attempts": 6758, "expressing": 6759, "sentiments": 6760, "unnecessary": 6761, "climate": 6762, "disastrous": 6763, "prospect": 6764, "finish": 6765, "almanac": 6766, "skirt": 6767, "venturing": 6768, "survey": 6769, "311": 6770, "unconsciously": 6771, "contract": 6772, "deaths": 6773, "casting": 6774, "malevolence": 6775, "mention": 6776, "figures": 6777, "shamed": 6778, "stealthily": 6779, "gaudy": 6780, "mackintosh": 6781, "instructions": 6782, "unforeseen": 6783, "paddington": 6784, "leicester": 6785, "presenting": 6786, "paybox": 6787, "informed": 6788, "renowned": 6789, "contortionists": 6790, "himalaya": 6791, "greater": 6792, "bronzed": 6793, "countenances": 6794, "cynosure": 6795, "awaiting": 6796, "burgundy": 6797, "sauces": 6798, "loaves": 6799, "welcome": 6800, "pegged": 6801, "quaffed": 6802, "carelesslywhen": 6803, "critically": 6804, "smoky": 6805, "hitherto": 6806, "dowhen": 6807, "curtain": 6808, "glistened": 6809, "darkly": 6810, "lamps": 6811, "flickered": 6812, "gust": 6813, "puddles": 6814, "trickled": 6815, "spouts": 6816, "gutters": 6817, "wayfarers": 6818, "dripping": 6819, "skirts": 6820, "thamesbut": 6821, "hind": 6822, "concurrence": 6823}'

# Save word_index and index_word as python dictionaries

index_word = json.loads(tokenizer_config['index_word'])
word_index = json.loads(tokenizer_config['word_index'])

Map the sentences to tokens

You can map each sentence to a sequence of integer tokens using the Tokenizer's texts_to_sequences() method. As was the case for the IMDb data set, the number corresponding to a word is that word's frequency rank in the corpus.

# View the first 5 sentences

sentence_strings[:5]

['CHAPTER I',
 '   Three invalids',
 'Sufferings of George and Harris',
 'A victim to one hundred and seven fatal maladies',
 'Useful prescriptions']

# Tokenize the data

sentence_seq = tokenizer.texts_to_sequences(sentence_strings)

# The return type is a list

type(sentence_seq)

list

# View the first 5 tokenized sentences

sentence_seq[0:5]

[[362, 8],
 [126, 3362],
 [2319, 6, 36, 3, 35],
 [5, 1779, 4, 43, 363, 3, 468, 3363, 2320],
 [2321, 3364]]

# Verify the mappings in the config

print(word_index['chapter'], word_index['i'])
print(word_index['three'], word_index['invalids'])
print(word_index['sufferings'], word_index['of'], word_index['george'], word_index['and'], word_index['harris'])
print(word_index['a'], word_index['victim'], word_index['to'], word_index['one'], word_index['hundred'], word_index['and'], word_index['seven'], word_index['fatal'], word_index['maladies'])
print(word_index['useful'], word_index['prescriptions'])

362 8
126 3362
2319 6 36 3 35
5 1779 4 43 363 3 468 3363 2320
2321 3364

Map the tokens to sentences

You can map the tokens back to sentences using the Tokenizer's sequences_to_texts method.

# View the first 5 tokenized sentences

sentence_seq[0:5]

[[362, 8],
 [126, 3362],
 [2319, 6, 36, 3, 35],
 [5, 1779, 4, 43, 363, 3, 468, 3363, 2320],
 [2321, 3364]]

# Map the token sequences back to sentences

tokenizer.sequences_to_texts(sentence_seq)[:5]

['chapter i',
 'three invalids',
 'sufferings of george and harris',
 'a victim to one hundred and seven fatal maladies',
 'useful prescriptions']

# Verify the mappings in the config

print(index_word['362'], index_word['8'])
print(index_word['126'], index_word['3362'])
print(index_word['2319'], index_word['6'], index_word['36'], index_word['3'], index_word['35'])
print(index_word['5'], index_word['1779'], index_word['4'], index_word['43'], index_word['363'], index_word['3'], index_word['468'], index_word['3363'], index_word['2320'])
print(index_word['2321'], index_word['3364'])

chapter i
three invalids
sufferings of george and harris
a victim to one hundred and seven fatal maladies
useful prescriptions

# Any valid sequence of tokens can be converted to text

tokenizer.sequences_to_texts([[92, 104, 241], [152, 169, 53, 2491]])

['good day world', 'montmorency bit my finger']

If a word is not featured in the Tokenizer's word index, then it will be mapped to the value of the Tokenizer's oov_token property.

# Tokenize unrecognised words

tokenizer.texts_to_sequences(['i would like goobleydoobly hobbledyho'])

[[8, 28, 78, 1, 1]]

# Verify the OOV token

index_word['1']

'<UNK>'

Further reading and resources

• https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text/Tokenizer
• https://nlp.stanford.edu/IR-book/html/htmledition/tokenization-1.html