3-2-Finding-Unusual-Words-in-Given-Language.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding Unusual Words in Given Language"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"Truly Kryptic is the best puzzle game. It's browser-based and free. Google it.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Tokenizing text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['truly',\n",
       " 'kryptic',\n",
       " 'is',\n",
       " 'the',\n",
       " 'best',\n",
       " 'puzzle',\n",
       " 'game',\n",
       " '.',\n",
       " 'it',\n",
       " \"'s\",\n",
       " 'browser-based',\n",
       " 'and',\n",
       " 'free',\n",
       " '.',\n",
       " 'google',\n",
       " 'it',\n",
       " '.']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk import word_tokenize\n",
    "text_tokenized = word_tokenize(text.lower())\n",
    "text_tokenized"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Importing and exploring the words corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Wordlists  en: English, http://en.wikipedia.org/wiki/Words_(Unix) en-basic: 850 English words: C.K. Ogden in The ABC of Basic English (1932) '"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.corpus import words\n",
    "words.readme().replace('\\n', ' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<WordListCorpusReader in 'C:\\\\Users\\\\hzsab\\\\AppData\\\\Roaming\\\\nltk_data\\\\corpora\\\\words'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['en', 'en-basic']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words.fileids()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A',\n",
       " 'a',\n",
       " 'aa',\n",
       " 'aal',\n",
       " 'aalii',\n",
       " 'aam',\n",
       " 'Aani',\n",
       " 'aardvark',\n",
       " 'aardwolf',\n",
       " 'Aaron']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words.words('en')[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['I',\n",
       " 'a',\n",
       " 'able',\n",
       " 'about',\n",
       " 'account',\n",
       " 'acid',\n",
       " 'across',\n",
       " 'act',\n",
       " 'addition',\n",
       " 'adjustment']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words.words('en-basic')[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "235886"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(words.words('en'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "850"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(words.words('en-basic'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Finding unusual words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'google'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "english_vocab = set(w.lower() for w in words.words())\n",
    "text_vocab = set(w.lower() for w in text_tokenized if w.isalpha()) # Note .isalpha() removes punctuation tokens. However, tokens with a hyphen like 'browser-based' are totally skipped over because .isalpha() would be false.\n",
    "unusual = text_vocab.difference(english_vocab)\n",
    "unusual"
   ]
  }
 ],
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