Table of Contents

• 一. 拼写纠正项目概述
• 1.1 拼写错误概述
• 1.2 贝叶斯方法计算
• 1.3 模型比较理论
• 二. 项目实战
• 2.1 数据源介绍
• 2.2 一些概念
• 2.3 代码

一. 拼写纠正项目概述

1.1 拼写错误概述

问题:
我们看到用户输入了一个不在字典中的单词，我们需要去猜测：“这个家伙到底真正想输入的单词是什么呢？

P(我们猜测他想输入的单词| 他实际输入的单词)

用户实际输入的单词记为D （D 代表Data ，即观测数据）

1. 猜测1：P(h1 | D)，猜测2：P(h2 | D)，猜测3：P(h1 | D) 。。。
   统一为：P(h | D)

2. P(h | D) = P(h) * P(D | h) / P(D)

3. 对于不同的具体猜测h1 h2 h3 … ，P(D) 都是一样的，所以在比较P(h1 | D) 和P(h2 | D) 的时候我们可以忽略这个常数

4. P(h | D) ∝ P(h) * P(D | h)
   对于给定观测数据，一个猜测是好是坏，取决于“这个猜测本身独立的可能性大小（先验概率，Prior ）”和“这个猜测生成我们观测到的数据的可能性大小。

1.2 贝叶斯方法计算

P(h) * P(D | h)，P(h) 是特定猜测的先验概率

比如用户输入tlp，那到底是top 还是tip ？这个时候，当最大似然不能作出决定性的判断时，先验概率就可以插手进来给出指示——“既然你无法决定，那么我告诉你，一般来说top 出现的程度要高许多，所以更可能他想打的是top ”

1.3 模型比较理论

最大似然：最符合观测数据的（即P(D | h) 最大的）最有优势

奥卡姆剃刀：P(h) 较大的模型有较大的优势

掷一个硬币，观察到的是“正”，根据最大似然估计的精神，我们应该猜测这枚硬币掷出“正”的概率是1，因为这个才是能最大化P(D | h) 的那个猜测

如果平面上有N 个点，近似构成一条直线，但绝不精确地位于一条直线上。这时我们既可以用直线来拟合（模型1），也可以用二阶多项式（模型2）拟合，也可以用三阶多项式（模型3），特别地，用N-1 阶多项式便能够保证肯定能完美通过

奥卡姆剃刀：越是高阶的多项式越是不常见

二. 项目实战

2.1 数据源介绍

一个12万行数据的英文文档，里面包含常用的英文单词。

2.2 一些概念

编辑距离:
两个词之间的编辑距离定义为使用了几次插入(在词中插入一个单字母), 删除(删除一个单字母), 交换(交换相邻两个字母), 替换(把一个字母换成另一个)的操作从一个词变到另一个词.

正常来说把一个元音拼成另一个的概率要大于辅音 (因为人常常把 hello 打成 hallo 这样); 把单词的第一个字母拼错的概率会相对小, 等等.但是为了简单起见, 选择了一个简单的方法: 编辑距离为1的正确单词比编辑距离为2的优先级高, 而编辑距离为0的正确单词优先级比编辑距离为1的高.

2.3 代码

代码:

import re, collections

# 把语料中的单词全部抽取出来, 转成小写, 并且去除单词中间的特殊符号
def words(text): return re.findall('[a-z]+', text.lower())

# 要是遇到我们从来没有过见过的新词怎么办.
# 假如说一个词拼写完全正确, 但是语料库中没有包含这个词, 从而这个词也永远不会出现在训练集中.
# 于是, 我们就要返回出现这个词的概率是0. 这个情况不太妙,
# 因为概率为0这个代表了这个事件绝对不可能发生, 而在我们的概率模型中, 我们期望用一个很小的概率来代表这种情况. lambda: 1
def train(features):
    model = collections.defaultdict(lambda: 1)
    for f in features:
        model[f] += 1
    return model

NWORDS = train(words(open('E:/file/big.txt').read()))

alphabet = 'abcdefghijklmnopqrstuvwxyz'

# 编辑距离:
# 两个词之间的编辑距离定义为使用了几次插入(在词中插入一个单字母), 删除(删除一个单字母),
# 交换(交换相邻两个字母), 替换(把一个字母换成另一个)的操作从一个词变到另一个词.

#返回所有与单词 w 编辑距离为 1 的集合
def edits1(word):
    n = len(word)
    return set([word[0:i]+word[i+1:] for i in range(n)] +                     # deletion
               [word[0:i]+word[i+1]+word[i]+word[i+2:] for i in range(n-1)] + # transposition
               [word[0:i]+c+word[i+1:] for i in range(n) for c in alphabet] + # alteration
               [word[0:i]+c+word[i:] for i in range(n+1) for c in alphabet])  # insertion

#与 something 编辑距离为2的单词居然达到了 114,324 个
#优化:在这些编辑距离小于2的词中间, 只把那些正确的词作为候选词,只能返回 3 个单词: ‘smoothing’, ‘something’ 和 ‘soothing’

#返回所有与单词 w 编辑距离为 2 的集合
#在这些编辑距离小于2的词中间, 只把那些正确的词作为候选词
def known_edits2(word):
    return set(e2 for e1 in edits1(word) for e2 in edits1(e1) if e2 in NWORDS)

# 判断单词是否在词频中,并返回字母
# 例如输入'knon' 返回 {'k', 'n', 'o'}
def known(words): return set(w for w in words if w in NWORDS)

# 编辑距离为1的正确单词比编辑距离为2的优先级高, 而编辑距离为0的正确单词优先级比编辑距离为1的高.
def correct(word):
    candidates = known([word]) or known(edits1(word)) or known_edits2(word) or [word]
    return max(candidates, key=lambda w: NWORDS[w])

# 输出词频
print(NWORDS)
print("####################################")

#返回所有与单词 knon 编辑距离为 1 的集合
print(edits1('knon'))
print("####################################")

# 判断单词是否在词频中
print(known('knon'))
print("####################################")

#返回所有与单词 knon 编辑距离为 2 的集合
print(known_edits2('knon'))
print("####################################")

# 输出knon的拼写检查
print(correct('knon'))

测试记录:

defaultdict(<function train.<locals>.<lambda> at 0x00000000038652F0>, {'the': 80031, 'project': 289, 'gutenberg': 264, 'ebook': 88, 'of': 40026, 'adventures': 18, 'sherlock': 102, 'holmes': 468, 'by': 6739, 'sir': 178, 'arthur': 35, 'conan': 5, 'doyle': 6, 'in': 22048, 'our': 1067, 'series': 129, 'copyright': 70, 'laws': 234, 'are': 3631, 'changing': 45, 'all': 4145, 'over': 1283, 'world': 363, 'be': 6156, 'sure': 124, 'to': 28767, 'check': 39, 'for': 6940, 'your': 1280, 'country': 424, 'before': 1364, 'downloading': 6, 'or': 5353, 'redistributing': 8, 'this': 4064, 'any': 1205, 'other': 1503, 'header': 8, 'should': 1298, 'first': 1178, 'thing': 304, 'seen': 445, 'when': 2924, 'viewing': 8, 'file': 22, 'please': 173, 'do': 1504, 'not': 6626, 'remove': 54, 'it': 10682, 'change': 151, 'edit': 5, 'without': 1016, 'written': 118, 'permission': 53, 'read': 219, 'legal': 53, 'small': 528, 'print': 48, 'and': 38313, 'information': 74, 'about': 1498, 'at': 6792, 'bottom': 43, 'included': 44, 'is': 9775, 'important': 286, 'specific': 38, 'rights': 169, 'restrictions': 24, 'how': 1316, 'may': 2552, 'used': 277, 'you': 5623, 'can': 1096, 'also': 779, 'find': 295, 'out': 1988, 'make': 505, 'a': 21156, 'donation': 11, 'get': 469, 'involved': 108, 'welcome': 19, 'free': 422, 'plain': 109, 'vanilla': 7, 'electronic': 59, 'texts': 8, 'ebooks': 55, 'readable': 14, 'both': 530, 'humans': 3, 'computers': 8, 'since': 261, 'these': 1232, 'were': 4290, 'prepared': 139, 'thousands': 94, 'volunteers': 23, 'title': 40, 'author': 30, 'release': 29, 'date': 49, 'march': 136, 'most': 909, 'recently': 31, 'updated': 5, 'november': 42, 'edition': 22, 'language': 62, 'english': 212, 'character': 175, 'set': 325, 'encoding': 6, 'ascii': 12, 'start': 68, 'additional': 31, 'editing': 7, 'jose': 2, 'menendez': 2, 'contents': 51, 'i': 7683, 'scandal': 20, 'bohemia': 16, 'ii': 78, 'red': 289, 'headed': 38, 'league': 54, 'iii': 92, 'case': 439, 'identity': 12, 'iv': 56, 'boscombe': 17, 'valley': 79, 'mystery': 40, 'v': 52, 'five': 280, 'orange': 24, 'pips': 13, 'vi': 38, 'man': 1653, 'with': 9741, 'twisted': 22, 'lip': 57, 'vii': 35, 'adventure': 35, 'blue': 144, 'carbuncle': 18, 'viii': 40, 'speckled': 6, 'band': 55, 'ix': 29, 'engineer': 13, 's': 5632, 'thumb': 52, 'x': 137, 'noble': 49, 'bachelor': 19, 'xi': 29, 'beryl': 5, 'coronet': 30, 'xii': 29, 'copper': 27, 'beeches': 13, 'she': 3947, 'always': 609, 'woman': 326, 'have': 3494, 'seldom': 77, 'heard': 637, 'him': 5231, 'mention': 47, 'her': 5285, 'under': 964, 'name': 263, 'his': 10035, 'eyes': 940, 'eclipses': 3, 'predominates': 4, 'whole': 745, 'sex': 12, 'was': 11411, 'that': 12513, 'he': 12402, 'felt': 698, 'emotion': 37, 'akin': 15, 'love': 485, 'irene': 19, 'adler': 17, 'emotions': 11, 'one': 3372, 'particularly': 175, 'abhorrent': 2, 'cold': 258, 'precise': 14, 'but': 5654, 'admirably': 8, 'balanced': 7, 'mind': 342, 'take': 617, 'perfect': 40, 'reasoning': 42, 'observing': 22, 'machine': 40, 'has': 1604, 'as': 8065, 'lover': 27, 'would': 1954, 'placed': 183, 'himself': 1159, 'false': 65, 'position': 433, 'never': 594, 'spoke': 219, 'softer': 11, 'passions': 30, 'save': 111, 'gibe': 3, 'sneer': 7, 'they': 3939, 'admirable': 15, 'things': 322, 'observer': 14, 'excellent': 63, 'drawing': 241, 'veil': 17, 'from': 5710, 'men': 1146, 'motives': 15, 'actions': 78, 'trained': 24, 'reasoner': 7, 'admit': 66, 'such': 1437, 'intrusions': 2, 'into': 2125, 'own': 786, 'delicate': 55, 'finely': 12, 'adjusted': 17, 'temperament': 6, 'introduce': 24, 'distracting': 2, 'factor': 42, 'which': 4843, 'might': 537, 'throw': 49, 'doubt': 153, 'upon': 1112, 'mental': 38, 'results': 230, 'grit': 2, 'sensitive': 36, 'instrument': 36, 'crack': 21, 'high': 291, 'power': 549, 'lenses': 2, 'more': 1998, 'disturbing': 10, 'than': 1207, 'strong': 169, 'nature': 171, 'yet': 489, 'there': 2973, 'late': 166, 'dubious': 2, 'questionable': 4, 'memory': 56, 'had': 7384, 'little': 1002, 'lately': 23, 'my': 2250, 'marriage': 97, 'drifted': 6, 'us': 685, 'away': 839, 'each': 412, 'complete': 146, 'happiness': 144, 'home': 296, 'centred': 3, 'interests': 119, 'rise': 241, 'up': 2285, 'around': 272, 'who': 3051, 'finds': 24, 'master': 142, 'establishment': 41, 'sufficient': 76, 'absorb': 5, 'attention': 192, 'while': 769, 'loathed': 2, 'every': 651, 'form': 508, 'society': 170, 'bohemian': 9, 'soul': 169, 'remained': 232, 'lodgings': 12, 'baker': 50, 'street': 181, 'buried': 22, 'among': 452, 'old': 1181, 'books': 60, 'alternating': 3, 'week': 96, 'between': 655, 'cocaine': 5, 'ambition': 14, 'drowsiness': 5, 'drug': 22, 'fierce': 13, 'energy': 46, 'keen': 33, 'still': 923, 'ever': 275, 'deeply': 78, 'attracted': 37, 'study': 145, 'crime': 62, 'occupied': 117, 'immense': 78, 'faculties': 9, 'extraordinary': 75, 'powers': 150, 'observation': 40, 'following': 209, 'those': 1202, 'clues': 4, 'clearing': 30, 'mysteries': 10, 'been': 2600, 'abandoned': 73, 'hopeless': 18, 'official': 92, 'police': 95, 'time': 1530, 'some': 1537, 'vague': 40, 'account': 178, 'doings': 12, 'summons': 12, 'odessa': 4, 'trepoff': 2, 'murder': 31, 'singular': 37, 'tragedy': 10, 'atkinson': 2, 'brothers': 51, 'trincomalee': 2, 'finally': 157, 'mission': 35, 'accomplished': 40, 'so': 3018, 'delicately': 4, 'successfully': 26, 'reigning': 4, 'family': 211, 'holland': 13, 'beyond': 226, 'signs': 99, 'activity': 132, 'however': 431, 'merely': 190, 'shared': 26, 'readers': 12, 'daily': 45, 'press': 82, 'knew': 497, 'former': 178, 'friend': 284, 'companion': 82, 'night': 386, 'on': 6644, 'twentieth': 20, 'returning': 69, 'journey': 70, 'patient': 384, 'now': 1698, 'returned': 195, 'civil': 178, 'practice': 96, 'way': 860, 'led': 197, 'me': 1921, 'through': 816, 'passed': 368, 'well': 1199, 'remembered': 121, 'door': 499, 'must': 956, 'associated': 197, 'wooing': 3, 'dark': 182, 'incidents': 15, 'scarlet': 23, 'seized': 115, 'desire': 97, 'see': 1102, 'again': 867, 'know': 1049, 'employing': 8, 'rooms': 87, 'brilliantly': 6, 'lit': 75, 'even': 947, 'looked': 761, 'saw': 600, 'tall': 75, 'spare': 28, 'figure': 104, 'pass': 155, 'twice': 85, 'silhouette': 2, 'against': 661, 'blind': 24, 'pacing': 27, 'room': 961, 'swiftly': 39, 'eagerly': 40, 'head': 726, 'sunk': 28, 'chest': 82, 'hands': 456, 'clasped': 12, 'behind': 402, 'mood': 52, 'habit': 56, 'attitude': 73, 'manner': 136, 'told': 491, 'their': 2956, 'story': 134, 'work': 383, 'risen': 31, 'created': 63, 'dreams': 17, 'hot': 120, 'scent': 18, 'new': 1212, 'problem': 77, 'rang': 30, 'bell': 66, 'shown': 114, 'chamber': 36, 'formerly': 78, 'part': 705, 'effusive': 3, 'glad': 151, 'think': 558, 'hardly': 174, 'word': 299, 'spoken': 93, 'kindly': 87, 'eye': 111, 'waved': 30, 'an': 3424, 'armchair': 50, 'threw': 97, 'across': 223, 'cigars': 8, 'indicated': 89, 'spirit': 168, 'gasogene': 2, 'corner': 129, 'then': 1559, 'stood': 384, 'fire': 275, 'introspective': 4, 'fashion': 50, 'wedlock': 2, 'suits': 9, 'remarked': 170, 'watson': 84, 'put': 436, 'seven': 133, 'half': 319, 'pounds': 27, 'answered': 227, 'indeed': 140, 'thought': 903, 'just': 768, 'trifle': 12, 'fancy': 51, 'observe': 38, 'did': 1876, 'tell': 493, 'intended': 59, 'go': 906, 'harness': 28, 'deduce': 15, 'getting': 93, 'yourself': 163, 'very': 1341, 'wet': 61, 'clumsy': 9, 'careless': 15, 'servant': 47, 'girl': 167, 'dear': 450, 'said': 3465, 'too': 549, 'much': 672, 'certainly': 120, 'burned': 78, 'lived': 114, 'few': 459, 'centuries': 13, 'ago': 109, 'true': 206, 'walk': 76, 'thursday': 8, 'came': 980, 'dreadful': 69, 'mess': 11, 'changed': 135, 'clothes': 63, 't': 1319, 'imagine': 97, 'mary': 706, 'jane': 3, 'incorrigible': 3, 'wife': 368, 'given': 365, 'notice': 99, 'fail': 41, 'chuckled': 8, 'rubbed': 33, 'long': 992, 'nervous': 55, 'together': 261, 'simplicity': 31, 'itself': 274, 'inside': 44, 'left': 835, 'shoe': 12, 'where': 978, 'firelight': 3, 'strikes': 20, 'leather': 36, 'scored': 5, 'six': 177, 'almost': 326, 'parallel': 18, 'cuts': 6, 'obviously': 39, 'caused': 103, 'someone': 161, 'carelessly': 15, 'scraped': 22, 'round': 557, 'edges': 71, 'sole': 71, 'order': 405, 'crusted': 3, 'mud': 37, 'hence': 33, 'double': 50, 'deduction': 13, 'vile': 17, 'weather': 43, 'malignant': 89, 'boot': 23, 'slitting': 3, 'specimen': 15, 'london': 77, 'slavey': 2, 'if': 2373, 'gentleman': 100, 'walks': 11, 'smelling': 6, 'iodoform': 44, 'black': 236, 'mark': 39, 'nitrate': 8, 'silver': 129, 'right': 711, 'forefinger': 8, 'bulge': 3, 'side': 512, 'top': 43, 'hat': 106, 'show': 214, 'secreted': 3, 'stethoscope': 3, 'dull': 75, 'pronounce': 10, 'active': 97, 'member': 51, 'medical': 23, 'profession': 23, 'could': 1701, 'help': 231, 'laughing': 116, 'ease': 45, 'explained': 61, 'process': 220, 'hear': 184, 'give': 524, 'reasons': 65, 'appears': 109, 'ridiculously': 2, 'simple': 140, 'easily': 115, 'myself': 228, 'though': 651, 'successive': 18, 'instance': 51, 'am': 747, 'baffled': 9, 'until': 326, 'explain': 124, 'believe': 184, 'good': 745, 'yours': 47, 'quite': 503, 'lighting': 17, 'cigarette': 7, 'throwing': 47, 'down': 1129, 'distinction': 20, 'clear': 234, 'example': 287, 'frequently': 219, 'steps': 189, 'lead': 138, 'hall': 84, 'often': 444, 'hundreds': 49, 'times': 237, 'many': 610, 'don': 582, 'observed': 132, 'point': 224, 'seventeen': 11, 'because': 631, 'interested': 66, 'problems': 79, 'enough': 176, 'chronicle': 8, 'two': 1139, 'trifling': 13, 'experiences': 12, 'sheet': 30, 'thick': 78, 'pink': 28, 'tinted': 10, 'notepaper': 3, 'lying': 119, 'open': 326, 'table': 297, 'last': 566, 'post': 118, 'aloud': 29, 'note': 116, 'undated': 2, 'either': 294, 'signature': 10, 'address': 77, 'will': 1578, 'call': 198, 'quarter': 47, 'eight': 129, 'o': 258, 'clock': 121, 'desires': 23, 'consult': 20, 'matter': 366, 'deepest': 16, 'moment': 488, 'recent': 55, 'services': 39, 'royal': 112, 'houses': 118, 'europe': 154, 'safely': 12, 'trusted': 17, 'matters': 137, 'importance': 118, 'exaggerated': 29, 'we': 1907, 'quarters': 73, 'received': 281, 'hour': 158, 'amiss': 7, 'visitor': 75, 'wear': 31, 'mask': 13, 'what': 3012, 'means': 254, 'no': 2349, 'data': 18, 'capital': 145, 'mistake': 40, 'theorise': 2, 'insensibly': 3, 'begins': 48, 'twist': 15, 'facts': 73, 'suit': 26, 'theories': 22, 'instead': 138, 'carefully': 73, 'examined': 50, 'writing': 70, 'paper': 178, 'wrote': 150, 'presumably': 9, 'endeavouring': 9, 'imitate': 8, 'processes': 36, 'bought': 56, 'crown': 62, 'packet': 12, 'peculiarly': 15, 'stiff': 21, 'peculiar': 85, 'hold': 115, 'light': 279, 'large': 484, 'e': 137, 'g': 56, 'p': 67, 'woven': 6, 'texture': 7, 'asked': 778, 'maker': 5, 'monogram': 5, 'rather': 220, 'stands': 20, 'gesellschaft': 2, 'german': 197, 'company': 193, 'customary': 20, 'contraction': 62, 'like': 1081, 'co': 31, 'course': 390, 'papier': 2, 'eg': 2, 'let': 507, 'glance': 92, 'continental': 47, 'gazetteer': 2, 'took': 574, 'heavy': 140, 'brown': 72, 'volume': 31, 'shelves': 4, 'eglow': 2, 'eglonitz': 2, 'here': 692, 'egria': 2, 'speaking': 186, 'far': 409, 'carlsbad': 2, 'remarkable': 78, 'being': 919, 'scene': 50, 'death': 331, 'wallenstein': 2, 'its': 1636, 'numerous': 51, 'glass': 117, 'factories': 30, 'mills': 40, 'ha': 76, 'boy': 170, 'sparkled': 6, 'sent': 320, 'great': 793, 'triumphant': 17, 'cloud': 31, 'made': 1008, 'precisely': 25, 'construction': 26, 'sentence': 27, 'frenchman': 103, 'russian': 462, 'uncourteous': 2, 'verbs': 2, 'only': 1874, 'remains': 74, 'therefore': 187, 'discover': 29, 'wanted': 214, 'writes': 21, 'prefers': 3, 'wearing': 88, 'showing': 105, 'face': 1126, 'comes': 92, 'mistaken': 60, 'resolve': 15, 'doubts': 40, 'sharp': 84, 'sound': 220, 'horses': 263, 'hoofs': 25, 'grating': 11, 'wheels': 48, 'curb': 5, 'followed': 330, 'pull': 24, 'whistled': 14, 'pair': 41, 'yes': 689, 'continued': 292, 'glancing': 99, 'window': 187, 'nice': 54, 'brougham': 5, 'beauties': 3, 'hundred': 230, 'fifty': 95, 'guineas': 4, 'apiece': 8, 'money': 327, 'nothing': 647, 'else': 202, 'better': 267, 'bit': 64, 'doctor': 184, 'stay': 75, 'lost': 225, 'boswell': 2, 'promises': 16, 'interesting': 72, 'pity': 76, 'miss': 113, 'client': 34, 'want': 324, 'sit': 90, 'best': 269, 'slow': 66, 'step': 140, 'stairs': 32, 'passage': 111, 'paused': 80, 'immediately': 183, 'outside': 111, 'loud': 65, 'authoritative': 3, 'tap': 11, 'come': 935, 'entered': 283, 'less': 368, 'feet': 180, 'inches': 17, 'height': 37, 'limbs': 68, 'hercules': 5, 'dress': 139, 'rich': 93, 'richness': 3, 'england': 312, 'bad': 156, 'taste': 24, 'bands': 28, 'astrakhan': 2, 'slashed': 4, 'sleeves': 31, 'fronts': 2, 'breasted': 2, 'coat': 173, 'deep': 216, 'cloak': 63, 'thrown': 93, 'shoulders': 126, 'lined': 33, 'flame': 16, 'coloured': 22, 'silk': 51, 'secured': 49, 'neck': 204, 'brooch': 2, 'consisted': 39, 'single': 174, 'flaming': 9, 'boots': 92, 'extended': 76, 'halfway': 20, 'calves': 4, 'trimmed': 9, 'tops': 4, 'fur': 39, 'completed': 26, 'impression': 68, 'barbaric': 3, 'opulence': 4, 'suggested': 70, 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