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351 lines
9.2 KiB
Plaintext
351 lines
9.2 KiB
Plaintext
4 years ago
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# NLTK - Part of Speech"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import nltk\n",
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"import random"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"lines = open('txt/language.txt').readlines()\n",
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"sentence = random.choice(lines)\n",
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"print(sentence)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Tokens"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"tokens = nltk.word_tokenize(sentence)\n",
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"print(tokens)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Part of Speech \"tags\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"tagged = nltk.pos_tag(tokens)\n",
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"print(tagged)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now, you could select for example all the type of **verbs**:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"selection = []\n",
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"\n",
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"for word, tag in tagged:\n",
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" if 'VB' in tag:\n",
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" selection.append(word)\n",
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"\n",
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"print(selection)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Where do these tags come from?"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"> An off-the-shelf tagger is available for English. It uses the Penn Treebank tagset.\n",
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"\n",
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"From: http://www.nltk.org/api/nltk.tag.html#module-nltk.tag"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"> NLTK provides documentation for each tag, which can be queried using the tag, e.g. nltk.help.upenn_tagset('RB').\n",
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"\n",
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"From: http://www.nltk.org/book_1ed/ch05.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"nltk.help.upenn_tagset('PRP')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"------------"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"An alphabetical list of part-of-speech tags used in the Penn Treebank Project ([link](https://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html)):\n",
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"\n",
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"<table cellspacing=\"2\" cellpadding=\"2\" border=\"0\">\n",
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" <tbody><tr bgcolor=\"#DFDFFF\" align=\"none\"> \n",
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" <td align=\"none\"> \n",
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" <div align=\"left\">Number</div>\n",
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" </td>\n",
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" <td> \n",
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" <div align=\"left\">Tag</div>\n",
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" </td>\n",
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" <td> \n",
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" <div align=\"left\">Description</div>\n",
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" </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 1. </td>\n",
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" <td>CC </td>\n",
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" <td>Coordinating conjunction </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 2. </td>\n",
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" <td>CD </td>\n",
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" <td>Cardinal number </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 3. </td>\n",
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" <td>DT </td>\n",
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" <td>Determiner </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 4. </td>\n",
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" <td>EX </td>\n",
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" <td>Existential <i>there<i> </i></i></td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 5. </td>\n",
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" <td>FW </td>\n",
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" <td>Foreign word </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 6. </td>\n",
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" <td>IN </td>\n",
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" <td>Preposition or subordinating conjunction </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 7. </td>\n",
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" <td>JJ </td>\n",
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" <td>Adjective </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 8. </td>\n",
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" <td>JJR </td>\n",
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" <td>Adjective, comparative </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 9. </td>\n",
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" <td>JJS </td>\n",
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" <td>Adjective, superlative </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 10. </td>\n",
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" <td>LS </td>\n",
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" <td>List item marker </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 11. </td>\n",
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" <td>MD </td>\n",
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" <td>Modal </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 12. </td>\n",
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" <td>NN </td>\n",
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" <td>Noun, singular or mass </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 13. </td>\n",
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" <td>NNS </td>\n",
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" <td>Noun, plural </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 14. </td>\n",
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" <td>NNP </td>\n",
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" <td>Proper noun, singular </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 15. </td>\n",
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" <td>NNPS </td>\n",
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" <td>Proper noun, plural </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 16. </td>\n",
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" <td>PDT </td>\n",
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" <td>Predeterminer </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 17. </td>\n",
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" <td>POS </td>\n",
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" <td>Possessive ending </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 18. </td>\n",
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" <td>PRP </td>\n",
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" <td>Personal pronoun </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 19. </td>\n",
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" <td>PRP\\$ </td>\n",
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" <td>Possessive pronoun </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 20. </td>\n",
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" <td>RB </td>\n",
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" <td>Adverb </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 21. </td>\n",
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" <td>RBR </td>\n",
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" <td>Adverb, comparative </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 22. </td>\n",
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" <td>RBS </td>\n",
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" <td>Adverb, superlative </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 23. </td>\n",
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" <td>RP </td>\n",
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" <td>Particle </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 24. </td>\n",
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" <td>SYM </td>\n",
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" <td>Symbol </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 25. </td>\n",
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" <td>TO </td>\n",
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" <td><i>to</i> </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 26. </td>\n",
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" <td>UH </td>\n",
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" <td>Interjection </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 27. </td>\n",
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" <td>VB </td>\n",
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" <td>Verb, base form </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 28. </td>\n",
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" <td>VBD </td>\n",
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" <td>Verb, past tense </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 29. </td>\n",
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" <td>VBG </td>\n",
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" <td>Verb, gerund or present participle </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 30. </td>\n",
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" <td>VBN </td>\n",
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" <td>Verb, past participle </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 31. </td>\n",
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" <td>VBP </td>\n",
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" <td>Verb, non-3rd person singular present </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 32. </td>\n",
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" <td>VBZ </td>\n",
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" <td>Verb, 3rd person singular present </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 33. </td>\n",
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" <td>WDT </td>\n",
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" <td>Wh-determiner </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 34. </td>\n",
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" <td>WP </td>\n",
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" <td>Wh-pronoun </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 35. </td>\n",
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" <td>WP$ </td>\n",
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" <td>Possessive wh-pronoun </td>\n",
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" </tr>\n",
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" <tr bgcolor=\"#FFFFCA\"> \n",
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" <td align=\"none\"> 36. </td>\n",
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" <td>WRB </td>\n",
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" <td>Wh-adverb \n",
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"</td></tr></tbody></table>"
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]
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}
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],
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"metadata": {
|
||
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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