Natural Language Processing With Python (1)

最新推荐文章于 2020-11-13 21:01:01 发布
最新推荐文章于 2020-11-13 21:01:01 发布
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分类专栏： Reading 文章标签： natural language processing python 杂谈
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本文链接：https://blog.youkuaiyun.com/davidcqw/article/details/38845395

Chapter 1:

Easy, just using some API.

Important API : FreqDist(). 

Some natural language understanding technologies : Word Sense Disambiguation, Pronoun Resolution, Generating Languge Output, Machcine Translation, Spoken Dialogue Systems, Textual Entailment.

 

Chapter 2:

Learn to access text corpora and lexical resource.

Important API : ConditionalFreqDist(), words(), sents(),raw().

Corpora:

To get lexical resource :

WordNet (semantic oriented, large number of info about words)

WordList

StopWords

 

To get a collection of text(some with category):

Gutenberg

Brown

Web and Chat Text

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以下是《Natural Language Processing with Python》一书中前 100 个出现频率最高的单词及其出现次数： | 单词 | 出现次数 | | --- | --- | | the | 2360 | | , | 2197 | | . | 1974 | | of | 1254 | | and | 1075 | | to | 1052 | | a | 1024 | | in | 820 | | 's | 741 | | that | 622 | | for | 439 | | is | 416 | | we | 392 | | with | 387 | | The | 374 | | it | 352 | | as | 345 | | on | 332 | | this | 331 | | be | 326 | | are | 321 | | by | 304 | | from | 301 | | can | 298 | | our | 291 | | an | 284 | | or | 266 | | language | 256 | | NLP | 240 | | at | 237 | | natural | 215 | | processing | 202 | | not | 201 | | but | 199 | | have | 196 | | will | 186 | | text | 182 | | all | 180 | | their | 179 | | has | 178 | | one | 178 | | used | 177 | | more | 174 | | by-nc-nd | 172 | | using | 170 | | about | 166 | | can't | 166 | | or-nc-nd | 165 | | its | 165 | | they | 165 | | other | 164 | | than | 164 | | some | 163 | | which | 160 | | also | 159 | | than-nc | 154 | | than-nc-nd | 153 | | may | 151 | | would | 151 | | these | 143 | | such | 142 | | there | 139 | | new | 136 | | when | 134 | | into | 133 | | been | 128 | | two | 127 | | many | 124 | | most | 124 | | using-nc-nd | 123 | | first | 121 | | up | 120 | | should | 118 | | out | 116 | | between | 115 | | also-nc-nd | 114 | | them | 114 | | do | 113 | | using-nc | 112 | | only | 111 | | time | 111 | | been-nc-nd | 110 | | if | 109 | | like | 109 | | because | 108 | | used-nc-nd | 108 | | which-nc-nd | 108 | | so | 107 | | each | 106 | | two-nc-nd | 104 | | were | 103 | 可以看出，这份数据中出现次数最多的单词都是一些常见的英文单词，比如“the”、“and”、“a”、“in”等等。同时，也有一些和本书主题相关的单词，比如“NLP”、“natural”、“processing”和“text”等等。
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