Gramtool stats

gramtool.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import io\n",
    "import re\n",
    "import bz2\n",
    "import urllib.request\n",
    "import unittest.mock\n",
    "import unicodedata as ud\n",
    "import collections\n",
    "import contextlib\n",
    "import xmltodict\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reading ltwiki...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "147MB [10:54, 238KB/s]                           \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "writing words.jsonl...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/1404085 [00:00<?, ?it/s]\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'json' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-9ba7b72654b7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     41\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'words.jsonl'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'w'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mword\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfreq\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwfreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmost_common\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtotal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwfreq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 43\u001b[0;31m         \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mword\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfreq\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'json' is not defined"
     ]
    }
   ],
   "source": [
    "@contextlib.contextmanager\n",
    "def stream_tqdm(f, **kwargs):\n",
    "    with tqdm.tqdm(**kwargs) as pbar:\n",
    "        fread = f.read\n",
    "        def read(size):\n",
    "            pbar.update(size)\n",
    "            return fread(size)\n",
    "        with unittest.mock.patch.object(f, 'read', read):\n",
    "            yield\n",
    "\n",
    "def read_ltwiki(url, *args, **kwargs):\n",
    "    with urllib.request.urlopen(url) as f:\n",
    "        with stream_tqdm(f, unit='B', unit_scale=True, total=int(f.headers['Content-Length'])):\n",
    "            stream = bz2.open(f, 'rb')\n",
    "            xmltodict.parse(stream, *args, **kwargs)\n",
    "\n",
    "def strip_accents(s, letters='ąčęėįšųūž'):\n",
    "    s = ud.normalize('NFC', s)\n",
    "    s = [c if c in letters else ud.normalize('NFD', c) for c in s]\n",
    "    s = [c for c in ''.join(s) if not ud.combining(c)]\n",
    "    return ud.normalize('NFC', ''.join(s))\n",
    "\n",
    "def extract_words(path, page):\n",
    "    tag, attrs = path[-1]\n",
    "    if tag == 'page' and page['revision']['format'] == 'text/x-wiki':\n",
    "        text = page['revision']['text'].get('#text', '')\n",
    "        text = strip_accents(text.lower())\n",
    "        wfreq.update(filter(None, tokens_re.split(text)))\n",
    "    return True\n",
    "\n",
    "alphabet = 'aąbcčdeęėfghiįyjklmnoprsštuųūvzž'\n",
    "tokens_re = re.compile('[^%s]+' % alphabet, flags=re.IGNORECASE)\n",
    "\n",
    "wfreq = collections.Counter()\n",
    "\n",
    "print('reading ltwiki...')\n",
    "url = 'https://dumps.wikimedia.org/ltwiki/{date}/ltwiki-{date}-pages-articles.xml.bz2'.format(date='20161201')\n",
    "read_ltwiki(url, item_depth=2, item_callback=extract_words)\n",
    "\n",
    "print('writing words.jsonl...')\n",
    "with open('words.jsonl', 'w') as f:\n",
    "    for word, freq in tqdm.tqdm(wfreq.most_common(), total=len(wfreq)):\n",
    "        f.write(json.dumps([word, freq]) + '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading gramtool...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 10%|█         | 11504/109751 [00:00<00:00, 115039.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reading words.jsonl...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 109751/109751 [00:01<00:00, 93626.93it/s]\n",
      "  0%|          | 100/109751 [00:00<01:49, 999.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "detecting part of speach...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 109751/109751 [02:15<00:00, 807.20it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "writing stats.csv...\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import re\n",
    "import collections\n",
    "import tqdm\n",
    "import gramtool\n",
    "import json\n",
    "import subprocess\n",
    "\n",
    "\n",
    "def nlines(filename):\n",
    "    return int(subprocess.run(['wc', '-l', filename], stdout=subprocess.PIPE).stdout.split()[0])\n",
    "\n",
    "\n",
    "alphabet = 'aąbcčdeęėfghiįyjklmnoprsštuųūvzž'\n",
    "tokens_re = re.compile('[^%s]+' % alphabet, flags=re.IGNORECASE)\n",
    "\n",
    "print('loading gramtool...')\n",
    "gt = gramtool.GramTool()\n",
    "\n",
    "wfreq = collections.Counter()\n",
    "\n",
    "if os.path.exists('words.jsonl'):\n",
    "    print('reading words.jsonl...')\n",
    "    with open('words.jsonl') as f:\n",
    "        for line in tqdm.tqdm(f, total=nlines('words.jsonl')):\n",
    "            word, freq = json.loads(line)\n",
    "            wfreq[word] = freq\n",
    "else:\n",
    "    print('reading texts.csv...')\n",
    "    with open('texts.csv') as f:\n",
    "        for line in tqdm.tqdm(f, total=nlines('texts.csv')):\n",
    "            wfreq.update(map(str.lower, filter(None, tokens_re.split(line))))\n",
    "\n",
    "    print('writing words.jsonl...')\n",
    "    with open('words.jsonl', 'w') as f:\n",
    "        for word, freq in tqdm.tqdm(wfreq.most_common(), total=len(wfreq)):\n",
    "            f.write(json.dumps([word, freq]) + '\\n')\n",
    "\n",
    "stats = {}\n",
    "\n",
    "print('detecting part of speach...')\n",
    "for token, freq in tqdm.tqdm(wfreq.most_common(), total=len(wfreq)):\n",
    "    poses = set()\n",
    "    for rule in gt.grammar.iter_rules(token):\n",
    "        for word in rule:\n",
    "            poses.add(word.form.spec[0])\n",
    "    stats[token] = ''.join(poses)\n",
    "\n",
    "print('writing stats.csv...')\n",
    "with open('stats.csv', 'w') as f:\n",
    "    print('word,freq,n_forms,forms', file=f)\n",
    "    for word, freq in wfreq.most_common():\n",
    "        print('%s,%d,%d,%s' % (word, freq, len(stats[word]), stats[word]), file=f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib as mpl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.rc('font', family='Ubuntu', size=16)\n",
    "mpl.rc('figure', figsize=(16, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('stats.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>freq</th>\n",
       "      <th>n_forms</th>\n",
       "      <th>forms</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ir</td>\n",
       "      <td>889793</td>\n",
       "      <td>1</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ar</td>\n",
       "      <td>300743</td>\n",
       "      <td>1</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>straipsnio</td>\n",
       "      <td>296790</td>\n",
       "      <td>1</td>\n",
       "      <td>n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>lietuvos</td>\n",
       "      <td>228649</td>\n",
       "      <td>1</td>\n",
       "      <td>n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>straipsnis</td>\n",
       "      <td>205871</td>\n",
       "      <td>1</td>\n",
       "      <td>n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         word    freq  n_forms forms\n",
       "0          ir  889793        1     c\n",
       "1          ar  300743        1     c\n",
       "2  straipsnio  296790        1     n\n",
       "3    lietuvos  228649        1     n\n",
       "4  straipsnis  205871        1     n"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Meaning of forms: https://github.com/sirex/gramtool/blob/master/gramtool/data/grammar.yaml#L5\n",
    "\n",
    "```yaml\n",
    "# Parts of speech\n",
    "pos:\n",
    "  n: noun          # Daiktavardis\n",
    "  a: adjective     # Būdvardis\n",
    "  v: verb          # Veiksmažodis\n",
    "  V: infinitive    # Bendratis\n",
    "  e: adverb        # Prieveismis\n",
    "  i: interjection  # Jaustukas\n",
    "  p: preposition   # Prielinksnis\n",
    "  c: conjunction   # Jungtukas\n",
    "  P: particle      # Dalelytė\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f91f79b4d68>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ecRu/WoeZ7UtaYD0JXJ7Xdo/s9Sl3/8MU57sne33FLD9//EG8lxdsv5jJzx+OLz3xzWxm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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f79b4b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.forms.value_counts().plot.barh(grid=True, figsize=(10, 14))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f91fcb3ce10>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oox0YTjfQRjv9M8Bkoo6MvQDozpEjuoEW2oE22oHhdANttNM/A0wAAAAAYG0Z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\nnf4ZYDJRx8deAHTn+HHdQAv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CAAAAAJNlgQkAAAAATJYFJgAAAAAwWRaYzNTa2ANAh3QD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\nB4bSDbTRTv8sMAEAAACAybLABAAAAAAmywKTmTo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97AGgQ+tjDwCdWh97AOjU+tgDQHfW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\nAAAwWRaYAAAAAMBk/f8HXMuixR+3/gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91fd519a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.n_forms.value_counts().plot.bar(grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>freq</th>\n",
       "      <th>n_forms</th>\n",
       "      <th>forms</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>nr</td>\n",
       "      <td>122149</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>m</td>\n",
       "      <td>72730</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>d</td>\n",
       "      <td>66065</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>p</td>\n",
       "      <td>40491</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>l</td>\n",
       "      <td>27240</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>lt</td>\n",
       "      <td>24765</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>inter</td>\n",
       "      <td>23479</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>lrs</td>\n",
       "      <td>23308</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>id</td>\n",
       "      <td>23223</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>doc</td>\n",
       "      <td>23212</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>http</td>\n",
       "      <td>23204</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>sho</td>\n",
       "      <td>23195</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>dokpaieska</td>\n",
       "      <td>23193</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>pls</td>\n",
       "      <td>23193</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>žin</td>\n",
       "      <td>19760</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>i</td>\n",
       "      <td>18230</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>a</td>\n",
       "      <td>16463</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>ip</td>\n",
       "      <td>12713</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>eb</td>\n",
       "      <td>8801</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>pvm</td>\n",
       "      <td>8067</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>t</td>\n",
       "      <td>7958</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>s</td>\n",
       "      <td>6763</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>iip</td>\n",
       "      <td>6164</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>es</td>\n",
       "      <td>5753</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>r</td>\n",
       "      <td>5641</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>nereg</td>\n",
       "      <td>5249</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>ii</td>\n",
       "      <td>4993</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>skiria</td>\n",
       "      <td>4954</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>naudotis</td>\n",
       "      <td>4704</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>vyriausioji</td>\n",
       "      <td>4587</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>ol</td>\n",
       "      <td>4533</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>b</td>\n",
       "      <td>4308</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>vyriausiosios</td>\n",
       "      <td>4249</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>verstis</td>\n",
       "      <td>4166</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>perkančioji</td>\n",
       "      <td>4117</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>esant</td>\n",
       "      <td>4012</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>vadovaudamasis</td>\n",
       "      <td>4010</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>802</th>\n",
       "      <td>mo</td>\n",
       "      <td>4001</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>804</th>\n",
       "      <td>atsižvelgdamas</td>\n",
       "      <td>3993</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>kol</td>\n",
       "      <td>3955</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               word    freq  n_forms forms\n",
       "11               nr  122149        0   NaN\n",
       "29                m   72730        0   NaN\n",
       "35                d   66065        0   NaN\n",
       "59                p   40491        0   NaN\n",
       "94                l   27240        0   NaN\n",
       "102              lt   24765        0   NaN\n",
       "113           inter   23479        0   NaN\n",
       "115             lrs   23308        0   NaN\n",
       "116              id   23223        0   NaN\n",
       "117             doc   23212        0   NaN\n",
       "118            http   23204        0   NaN\n",
       "119             sho   23195        0   NaN\n",
       "120      dokpaieska   23193        0   NaN\n",
       "121             pls   23193        0   NaN\n",
       "143             žin   19760        0   NaN\n",
       "161               i   18230        0   NaN\n",
       "188               a   16463        0   NaN\n",
       "246              ip   12713        0   NaN\n",
       "357              eb    8801        0   NaN\n",
       "392             pvm    8067        0   NaN\n",
       "401               t    7958        0   NaN\n",
       "472               s    6763        0   NaN\n",
       "523             iip    6164        0   NaN\n",
       "567              es    5753        0   NaN\n",
       "578               r    5641        0   NaN\n",
       "617           nereg    5249        0   NaN\n",
       "651              ii    4993        0   NaN\n",
       "659          skiria    4954        0   NaN\n",
       "697        naudotis    4704        0   NaN\n",
       "718     vyriausioji    4587        0   NaN\n",
       "731              ol    4533        0   NaN\n",
       "758               b    4308        0   NaN\n",
       "764   vyriausiosios    4249        0   NaN\n",
       "775         verstis    4166        0   NaN\n",
       "779     perkančioji    4117        0   NaN\n",
       "799           esant    4012        0   NaN\n",
       "800  vadovaudamasis    4010        0   NaN\n",
       "802              mo    4001        0   NaN\n",
       "804  atsižvelgdamas    3993        0   NaN\n",
       "809             kol    3955        0   NaN"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.n_forms==0].head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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