From 793d4814285230cd86aef5e86f90eb2591bcabfa Mon Sep 17 00:00:00 2001 From: ulaniuk Date: Sun, 23 Apr 2023 10:16:33 +0200 Subject: [PATCH 1/2] Test --- bigram_model.ipynb | 1805 ++++++++ dev-0/out.tsv | 10519 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 12324 insertions(+) create mode 100644 bigram_model.ipynb create mode 100644 dev-0/out.tsv diff --git a/bigram_model.ipynb b/bigram_model.ipynb new file mode 100644 index 0000000..f595300 --- /dev/null +++ b/bigram_model.ipynb @@ -0,0 +1,1805 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "from itertools import islice\n", + "from collections import Counter\n", + "import pandas as pd\n", + "from tqdm import tqdm\n", + "\n", + "import lzma\n", + "from collections import Counter, OrderedDict\n", + "import matplotlib.pyplot as plt\n", + "from math import log\n", + "import re\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Get counter of bigrams\n", + "# Get top 1000\n", + "# ('in', 'the'): 213132113 -> ('in', 'the'): 213132113\n", + "# ('man', 'the'): 3 -> ('#UNK', 'the'):3, ('man', '#UNK'): 3\n", + "# ('dog', 'the'): 4 -> ('#UNK', 'the'):7, ('dog', '#UNK'): 4\n", + "# ...\n", + "\n", + "# Iterate over all bigrams if bigram in top 1000.keys() then copy\n", + "# if bigram not in 1000 then replace one part of unigram with #UNK token and check if in dict then append or add to the result\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "with open(\"train/in.tsv\", encoding='utf8', mode=\"rt\") as file:\n", + " a = file.readlines()\n", + "\n", + "a = [line.split(\"\\t\") for line in a]\n", + "text = \" \".join([line[-2] + \" \" + line[-1] for line in a])\n", + "text = re.sub(r\"\\\\+n\", \" \", text)\n", + "text = re.sub(r'[^a-zA-Z ]', '', text)\n", + "text = re.sub(' +', ' ', text)\n", + "text = text.lower()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "text = text[:1_000_000]" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'came fiom the last place to this place and this place is where we were this is the first road i ever'" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "text[:100]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "del a" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "812287" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(text)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "from itertools import tee, islice\n", + "\n", + "def ngrams(lst, n):\n", + " tlst = lst\n", + " while True:\n", + " a, b = tee(tlst)\n", + " l = tuple(islice(a, n))\n", + " if len(l) == n:\n", + " yield l\n", + " next(b)\n", + " tlst = b\n", + " else:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "bigram_counter = Counter(ngrams(text.lower().split(' '), 2))\n", + "bigram_counter = dict(sorted(bigram_counter.items(), key=lambda item: item[1], reverse=True))" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "unknown_token = '#UNK'" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "top_bigrams = list(list(bigram_counter)[:1000])" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "bigram_counter_unk = {}\n", + "\n", + "for bigram, count in bigram_counter.items():\n", + " if bigram in top_bigrams:\n", + " bigram_counter_unk[bigram] = count\n", + " else:\n", + " for i in range(2):\n", + " bigram_unk = list(bigram)\n", + " bigram_unk[i] = '#UNK'\n", + " bigram_unk = tuple(bigram_unk)\n", + "\n", + " print(bigram, bigram_unk)\n", + "\n", + " if bigram_unk in bigram_counter_unk:\n", + " bigram_counter_unk[bigram_unk] = bigram_counter_unk[bigram_unk] + count\n", + " else:\n", + " bigram_counter_unk[bigram_unk] = count" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "trigram_counter = Counter(ngrams(text.lower().split(' '), 3))\n", + "trigram_counter = dict(sorted(trigram_counter.items(), key=lambda item: item[1], reverse=True))" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "top_trigrams = list(trigram_counter)[:1_000]" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "trigram_counter_unk = {}\n", + "\n", + "for trigram, count in trigram_counter.items():\n", + " if trigram in top_trigrams:\n", + " trigram_counter_unk[trigram] = count\n", + " else:\n", + " for i in range(3):\n", + " trigram_unk = list(trigram)\n", + " trigram_unk[i] = '#UNK'\n", + " trigram_unk = tuple(trigram_unk)\n", + "\n", + " if trigram_unk in trigram_counter_unk:\n", + " trigram_counter_unk[trigram_unk] = trigram_counter_unk[trigram_unk] + count\n", + " else:\n", + " trigram_counter_unk[trigram_unk] = count" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{}" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trigram_counter_unk" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "bigram_counter_unk = {}\n", + "\n", + "for bigram, count in bigram_counter.items():\n", + " if bigram in top_bigrams:\n", + " bigram_counter_unk[bigram] = count\n", + " else:\n", + " for i in range(2):\n", + " bigram_unk = list(bigram)\n", + " bigram_unk[i] = '#UNK'\n", + " bigram_unk = tuple(bigram_unk)\n", + "\n", + " print(bigram, bigram_unk)\n", + "\n", + " if bigram_unk in bigram_counter_unk:\n", + " bigram_counter_unk[bigram_unk] = bigram_counter_unk[bigram_unk] + count\n", + " else:\n", + " bigram_counter_unk[bigram_unk] = count" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "# words = re.findall(\"\\w+\", text[:1000])\n", + "# quadgram_counter = Counter(zip(words, islice(words, 3, None)))\n", + "\n", + "tetragram_counter = Counter(ngrams(text.lower().split(' '), 4))\n", + "tetragram_counter = dict(sorted(tetragram_counter.items(), key=lambda item: item[1], reverse=True))\n", + "\n", + "# del words" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "tetragram_counter_short = {}\n", + "for key, value in tetragram_counter.items():\n", + " if value > 5:\n", + " tetragram_counter_short[key] = value\n", + "\n", + "quadgram_counter = tetragram_counter_short\n", + "del tetragram_counter_short" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "top_tetragrams = list(tetragram_counter)[:1000]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tetragram_counter_unk = {}\n", + "\n", + "for tetragram, count in tetragram_counter.items():\n", + " if tetragram in top_tetragrams:\n", + " tetragram_counter_unk[tetragram] = count\n", + " else:\n", + " for i in range(2):\n", + " tetragram_unk = list(tetragram)\n", + " tetragram_unk[i] = '#UNK'\n", + " tetragram_unk = tuple(tetragram_unk)\n", + "\n", + " print(tetragram, tetragram_unk)\n", + "\n", + " if tetragram_unk in tetragram_counter_unk:\n", + " tetragram_counter_unk[tetragram_unk] = tetragram_counter_unk[tetragram_unk] + count\n", + " else:\n", + " tetragram_counter_unk[tetragram_unk] = count" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{('of', 'the', 'united', 'states'): 32,\n", + " ('', '', '', ''): 30,\n", + " ('the', 'th', 'day', 'of'): 24,\n", + " ('on', 'the', 'part', 'of'): 16,\n", + " ('for', 'the', 'purpose', 'of'): 16,\n", + " ('', 'a', 'm', ''): 14,\n", + " ('', 'at', '', 'oclock'): 13,\n", + " ('on', 'the', 'th', 'day'): 13,\n", + " ('from', '', 'to', ''): 12,\n", + " ('one', 'of', 'the', 'most'): 12,\n", + " ('', '', 'and', ''): 12,\n", + " ('in', 'the', 'united', 'states'): 11,\n", + " ('the', 'district', 'of', 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'a', 'corner', 'thence'): 2,\n", + " ('to', 'the', 'place', 'of'): 2,\n", + " ('and', 'cost', 'of', 'the'): 2,\n", + " ('the', 'head', 'will', 'be'): 2,\n", + " ('was', 'that', 'he', 'had'): 2,\n", + " ('that', 'he', 'had', 'made'): 2,\n", + " ('said', 'that', 'if', 'the'): 2,\n", + " ('that', 'they', 'could', 'not'): 2,\n", + " ('to', 'know', 'that', 'they'): 2,\n", + " ('tell', 'her', 'she', 'can'): 2,\n", + " ('her', 'she', 'can', 'have'): 2,\n", + " ('she', 'can', 'have', 'sum'): 2,\n", + " ('can', 'have', 'sum', 'or'): 2,\n", + " ('as', 'she', 'cood', 'get'): 2,\n", + " ('she', 'cood', 'get', 'awn'): 2,\n", + " ('cood', 'get', 'awn', 'it'): 2,\n", + " ('get', 'awn', 'it', 'and'): 2,\n", + " ('awn', 'it', 'and', 'then'): 2,\n", + " ('it', 'and', 'then', 'she'): 2,\n", + " ('went', 'back', 'to', 'the'): 2,\n", + " ('color', 'of', 'the', 'skin'): 2,\n", + " ('all', 'parts', 'of', 'the'): 2,\n", + " ('in', 'other', 'words', 'the'): 2,\n", + " ('and', 'after', 'awhile', 'the'): 2,\n", + " ('the', 'lower', 'part', 'of'): 2,\n", + " ('lower', 'part', 'of', 'the'): 2,\n", + " ('within', '', 'feet', 'of'): 2,\n", + " ('', 'feet', 'of', 'a'): 2,\n", + " ('feet', 'of', 'a', 'church'): 2,\n", + " ('find', 'a', 'way', 'to'): 2,\n", + " ('the', 'chairman', 'of', 'the'): 2,\n", + " ('does', 'not', 'happen', 'to'): 2,\n", + " ('not', 'happen', 'to', 'be'): 2,\n", + " ('out', 'of', 'the', 'way'): 2,\n", + " ('do', 'not', 'seem', 'to'): 2,\n", + " ('not', 'seem', 'to', 'have'): 2,\n", + " ('to', 'keep', 'up', 'with'): 2,\n", + " ('it', 'is', 'only', 'necessary'): 2,\n", + " ('is', 'only', 'necessary', 'to'): 2,\n", + " ('in', 'the', 'air', 'in'): 2,\n", + " ('in', 'the', 'dining', 'room'): 2,\n", + " ('the', 'dining', 'room', 'a'): 2,\n", + " ('the', 'foot', 'of', 'the'): 2,\n", + " ('of', 'the', 'interstate', 'commerce'): 2,\n", + " ('in', 'its', 'natural', 'state'): 2,\n", + " ('lbs', 'of', 'virgin', 'wool'): 2,\n", + " ('the', 'right', 'of', 'their'): 2,\n", + " ('and', 'the', 'demand', 'for'): 2,\n", + " ('by', 'any', 'european', 'power'): 2,\n", + " ('the', 'united', 'states', 'has'): 2,\n", + " ('as', 'laid', 'down', 'by'): 2,\n", + " ('the', 'question', 'of', 'the'): 2,\n", + " ('in', 'the', 'streets', 'of'): 2,\n", + " ('but', 'i', 'am', 'told'): 2,\n", + " ('wish', 'to', 'see', 'the'): 2,\n", + " ('to', 'the', 'spot', 'and'): 2,\n", + " ('it', 'was', 'covered', 'with'): 2,\n", + " ('he', 'was', 'in', 'danger'): 2,\n", + " ('and', 'if', 'it', 'is'): 2,\n", + " ('the', 'm', 'e', 'church'): 2,\n", + " ('and', 'it', 'is', 'thought'): 2,\n", + " ('which', 'had', 'struck', 'him'): 2,\n", + " ('out', 'the', 'fact', 'that'): 2,\n", + " ('the', 'importance', 'of', 'the'): 2,\n", + " ('of', 'the', 'operations', 'of'): 2,\n", + " ('he', 'called', 'attention', 'to'): 2,\n", + " ('called', 'attention', 'to', 'the'): 2,\n", + " ('of', 'tbe', 'united', 'states'): 2,\n", + " ('and', 'then', 'in', 'a'): 2,\n", + " ('as', 'far', 'as', 'the'): 2,\n", + " ('in', '', 'to', ''): 2,\n", + " ('', 'this', 'increase', 'in'): 2,\n", + " ('this', 'increase', 'in', 'the'): 2,\n", + " ('', '', 'long', 'tons'): 2,\n", + " ('has', 'been', 'mainly', 'in'): 2,\n", + " ('been', 'mainly', 'in', 'the'): 2,\n", + " ('mainly', 'in', 'the', 'shipments'): 2,\n", + " ('in', 'the', 'shipments', 'to'): 2,\n", + " ('the', 'coal', 'trade', 'of'): 2,\n", + " ('coal', 'trade', 'of', 'the'): 2,\n", + " ('in', 'part', 'to', 'the'): 2,\n", + " ...}" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tetragram_counter" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "unigram_counter = Counter(text.split(' '))\n", + "# total_word_count = sum(unigram_counter.values)\n", + "unigram_counter = unigram_counter.most_common(10_000)\n", + "# unigram_counter = dict(sorted(unigram_counter.items(), key=lambda item: item[1]), reverse=True)\n", + "unigram_counter_list = unigram_counter\n", + "unigram_counter = dict(unigram_counter) " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# with open(\"dev-0/in.tsv\", encoding='utf8', mode=\"rt\") as file:\n", + "# a = file.readlines()\n", + "\n", + "# a = [line.split(\"\\t\") for line in a]\n", + "# text = \" \".join([line[-2] + \" \" + line[-1] for line in a])" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_14716\\2692353843.py:1: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version. Use on_bad_lines in the future.\n", + "\n", + "\n", + " test_data = pd.read_csv('dev-0/in.tsv', sep='\\t', error_bad_lines=False, header=None)\n", + "Skipping line 654: expected 8 fields, saw 9\n", + "Skipping line 2220: expected 8 fields, saw 9\n", + "\n" + ] + } + ], + "source": [ + "test_data = pd.read_csv('dev-0/in.tsv', sep='\\t', error_bad_lines=False, header=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0662ed514d56f7bc8743aa6f23794c731LINCOLN TELEGRAPHChronAm1838.83424743.910755-69.820862rin 11K ui i rsognfd inlriliinnts i>r the town...Northeasterly hv the head of said .^corn’s\\nan...
10c3ac40edfe6a167ab692fdb9219a93cTHE WYANDOT PIONEERChronAm1857.69178140.827279-83.281309ton County feel an interest in. tn great is-\\n...and design,\\nand hence, every election, be it ...
2b298097f3afd2f8c06b61fa2308ec725RICHMOND ENQUIRERChronAm1847.01232937.538509-77.434280But at our own doors we have evidence ten\\ning...Democrat\\nenlisting lor the Mexican wvir. They...
31d50cf957a6a9cbbe0ee7773a72a76d4RAFTSMAN'S JOURNALChronAm1867.54109641.027280-78.439188The wonderful Flexibility and great comfort\\na...will preserve their perfect aud grace\\nful sha...
45a7297b76de00c7d9e1fb159384238c0RICHMOND ENQUIRERChronAm1826.08356237.538509-77.434280Illinois.—The Legislature met at Ya:.ualia\\non...to run the line between Arkansas and\\nthe’Vhnc...
...........................
1039702e9e019df1992daeafe82b041d94aacWATERBURY EVENING DEMOCRATChronAm1888.94945441.558153-73.051497the Fitzgeralds should perish like a common\\nt...Brian, but there was also a touch\\nof self int...
1039874fa28868cbc998d15c242baea4e1faaRICHMOND ENQUIRERChronAm1836.01229537.538509-77.434280herd, so soon as he conveniently can, after th...Court dotli lurlher adjudge, order, and decree...
10399147be715e90bac01c55969d90254f29eEVENING CAPITALChronAm1907.00411038.978640-76.492786Drs. James J. Murphy, of Annapo-\\nlis, and Tho...in the matter\\nor show any inclination to help...
104001357f703947d912523ac23540cb99a0fRAFTSMAN'S JOURNALChronAm1868.07786941.027280-78.439188the soles of the feet spikes or corks are fixe...\\nIn order to prevent \"the giant\" from\\nfright...
1040123346293dbc949ee2edc3380db29f33bTHE DEMOCRATIC WHIGChronAm1843.76027433.495674-88.427263tion which his opponent had taken, and whilst\\...come criterion, by which to judge\\nof a nation...
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" + ], + "text/plain": [ + " 0 1 2 \\\n", + "0 662ed514d56f7bc8743aa6f23794c731 LINCOLN TELEGRAPH ChronAm \n", + "1 0c3ac40edfe6a167ab692fdb9219a93c THE WYANDOT PIONEER ChronAm \n", + "2 b298097f3afd2f8c06b61fa2308ec725 RICHMOND ENQUIRER ChronAm \n", + "3 1d50cf957a6a9cbbe0ee7773a72a76d4 RAFTSMAN'S JOURNAL ChronAm \n", + "4 5a7297b76de00c7d9e1fb159384238c0 RICHMOND ENQUIRER ChronAm \n", + "... ... ... ... \n", + "10397 02e9e019df1992daeafe82b041d94aac WATERBURY EVENING DEMOCRAT ChronAm \n", + "10398 74fa28868cbc998d15c242baea4e1faa RICHMOND ENQUIRER ChronAm \n", + "10399 147be715e90bac01c55969d90254f29e EVENING CAPITAL ChronAm \n", + "10400 1357f703947d912523ac23540cb99a0f RAFTSMAN'S JOURNAL ChronAm \n", + "10401 23346293dbc949ee2edc3380db29f33b THE DEMOCRATIC WHIG ChronAm \n", + "\n", + " 3 4 5 \\\n", + "0 1838.834247 43.910755 -69.820862 \n", + "1 1857.691781 40.827279 -83.281309 \n", + "2 1847.012329 37.538509 -77.434280 \n", + "3 1867.541096 41.027280 -78.439188 \n", + "4 1826.083562 37.538509 -77.434280 \n", + "... ... ... ... \n", + "10397 1888.949454 41.558153 -73.051497 \n", + "10398 1836.012295 37.538509 -77.434280 \n", + "10399 1907.004110 38.978640 -76.492786 \n", + "10400 1868.077869 41.027280 -78.439188 \n", + "10401 1843.760274 33.495674 -88.427263 \n", + "\n", + " 6 \\\n", + "0 rin 11K ui i rsognfd inlriliinnts i>r the town... \n", + "1 ton County feel an interest in. tn great is-\\n... \n", + "2 But at our own doors we have evidence ten\\ning... \n", + "3 The wonderful Flexibility and great comfort\\na... \n", + "4 Illinois.—The Legislature met at Ya:.ualia\\non... \n", + "... ... \n", + "10397 the Fitzgeralds should perish like a common\\nt... \n", + "10398 herd, so soon as he conveniently can, after th... \n", + "10399 Drs. James J. Murphy, of Annapo-\\nlis, and Tho... \n", + "10400 the soles of the feet spikes or corks are fixe... \n", + "10401 tion which his opponent had taken, and whilst\\... \n", + "\n", + " 7 \n", + "0 Northeasterly hv the head of said .^corn’s\\nan... \n", + "1 and design,\\nand hence, every election, be it ... \n", + "2 Democrat\\nenlisting lor the Mexican wvir. They... \n", + "3 will preserve their perfect aud grace\\nful sha... \n", + "4 to run the line between Arkansas and\\nthe’Vhnc... \n", + "... ... \n", + "10397 Brian, but there was also a touch\\nof self int... \n", + "10398 Court dotli lurlher adjudge, order, and decree... \n", + "10399 in the matter\\nor show any inclination to help... \n", + "10400 \\nIn order to prevent \"the giant\" from\\nfright... \n", + "10401 come criterion, by which to judge\\nof a nation... \n", + "\n", + "[10402 rows x 8 columns]" + ] + }, + "execution_count": 88, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "total_word_count = sum(Counter(text.split(' ')).values())\n", + "\n", + "def get_unigram_prob(w1):\n", + " return unigram_counter[w1] / total_word_count\n", + "\n", + "def get_bigram_prob(w1, w2):\n", + " if bigram_counter_unk[(w1, w2)] == 0:\n", + " return 0\n", + " return bigram_counter_unk[(w1, w2)] / unigram_counter[w1]\n", + "\n", + "def get_trigram_prob(w1, w2, w3):\n", + " if trigram_counter_unk[(w1, w2, w3)] == 0:\n", + " return 0\n", + " return trigram_counter_unk[(w1, w2, w3)] / bigram_counter_unk[(w1, w2)]\n", + "\n", + "def get_tetragram_prob(w1, w2, w3, w4):\n", + " if tetragram_counter_unk[(w1, w2, w3, w4)] == 0:\n", + " return 0\n", + " return tetragram_counter_unk[(w1, w2, w3, w4)] / trigram_counter_unk[(w1, w2, w3)]" + ] + }, + { + "cell_type": "code", + "execution_count": 213, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "10519it [02:47, 62.67it/s]\n" + ] + } + ], + "source": [ + "results_string = []\n", + "\n", + "with lzma.open(\"dev-0/in.tsv.xz\", encoding='utf8', mode=\"rt\") as file:\n", + " for line in tqdm(file):\n", + " line = line.split(\"\\t\")\n", + " text_before = str(line[-2]).replace('\\\\n', ' ').replace('\\n', ' ')\n", + " text_after = str(line[-1]).replace('\\\\n', ' ').replace('\\n', ' ')\n", + "\n", + " if text_before[-1] == ' ':\n", + " text_before = text_before[:-1]\n", + " if text_before[0] == ' ':\n", + " text_before = text_before[1:]\n", + "\n", + " if text_after[-1] == ' ':\n", + " text_after = text_after[:-1]\n", + " if text_after[0] == ' ':\n", + " text_after = text_after[1:]\n", + "\n", + " words_before = text_before.split(' ')\n", + " words_after = text_after.split(' ')\n", + "\n", + " # words_before = text_before.split(' ')[-1]\n", + " # words_after = text_after.split(' ')[0]\n", + "\n", + "\n", + " best_words = {}\n", + "\n", + " for word_middle, _ in unigram_counter_list:\n", + " current_score = 0\n", + " if (word_before, word_middle) in quadgram_counter.keys() and (word_middle, word_after) in quadgram_counter.keys() and word_before in unigram_counter.keys() and word_after in unigram_counter.keys():\n", + " current_score = (quadgram_counter[(word_before, word_middle)] / unigram_counter[word_before]) * (quadgram_counter[(word_middle, word_after)] / unigram_counter[word_middle])\n", + " best_words[word_middle] = current_score\n", + "\n", + " best_words = sorted(best_words.items(), key=lambda item: item[1], reverse=True)\n", + " leftover_probability = 0\n", + " for _, value in best_words[:5]:\n", + " if value == 0:\n", + " break\n", + " leftover_probability += value\n", + " leftover_probability = max(1 - leftover_probability, 0.01)\n", + "\n", + " result = f'{best_words[0][0]}:{round(best_words[0][1], 7):.8f} {best_words[1][0]}:{round(best_words[1][1], 7):.8f} {best_words[2][0]}:{round(best_words[2][1], 7):.8f} {best_words[3][0]}:{round(best_words[3][1], 7):.8f} {best_words[4][0]}:{round(best_words[4][1], 7):.8f} :{round(leftover_probability, 3):.8f}'\n", + " results_string.append(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'own:0.00076790 way:0.00069960 head:0.00058630 work:0.00051990 place:0.00045550 :0.99700000',\n", + " 'the:0.00001150 a:0.00001040 Madison:0.00000230 every:0.00000210 Missouri:0.00000120 :1.00000000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'a:0.00008660 him:0.00000250 no:0.00000170 all:0.00000150 them:0.00000120 :1.00000000',\n", + " 'trees:0.00092990 and:0.00057150 is:0.00030980 growers:0.00029090 growing:0.00014300 :0.99800000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'that:0.00131940 as:0.00047920 sure:0.00009500 and:0.00009330 better:0.00007450 :0.99800000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'be:0.00032910 the:0.00014090 show:0.00012860 this:0.00001380 a:0.00000790 :0.99900000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'country:0.00007340 world:0.00007170 people:0.00006310 city:0.00005530 time:0.00004280 :1.00000000',\n", + " 'to:0.00030170 I:0.00005940 and:0.00002870 a:0.00001570 t:0.00001340 :1.00000000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'that:0.00014960 for:0.00010580 God:0.00005010 to:0.00002530 ing:0.00001430 :1.00000000',\n", + " 'founded:0.00097130 known:0.00064890 posted:0.00052370 as:0.00032530 fed:0.00027720 :0.99700000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000',\n", + " 'the:0.00000000 of:0.00000000 and:0.00000000 to:0.00000000 a:0.00000000 :1.00000000']" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results_string[:20]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "with open(r'test-A/out.tsv', 'w') as fp:\n", + " for item in results_string:\n", + " fp.write(\"%s\\n\" % item)\n", + " print('Done')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "scweet", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.16" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/dev-0/out.tsv b/dev-0/out.tsv new file mode 100644 index 0000000..ec7bc1e --- /dev/null +++ b/dev-0/out.tsv @@ -0,0 +1,10519 @@ +the:0.11756480 a:0.05313650 his:0.03195030 to:0.02982120 this:0.02470670 :0.74300000 +the:0.00663600 of:0.00398360 and:0.00313940 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to:0.00259170 in:0.00197040 :0.98200000 +the:0.00663600 of:0.00398360 and:0.00313940 to:0.00259170 in:0.00197040 :0.98200000 +the:0.00663600 of:0.00398360 and:0.00313940 to:0.00259170 in:0.00197040 :0.98200000 +the:0.00663600 of:0.00398360 and:0.00313940 to:0.00259170 in:0.00197040 :0.98200000 +the:0.07218850 be:0.04604840 a:0.02979140 his:0.02151840 make:0.02045400 :0.81000000 +the:0.06078490 a:0.06019660 not:0.05161290 to:0.04016710 an:0.03305660 :0.75400000 +the:0.00663600 of:0.00398360 and:0.00313940 to:0.00259170 in:0.00197040 :0.98200000 +few:0.02726470 large:0.02282130 great:0.02125880 man:0.02079150 d:0.01974520 :0.88800000 +the:0.00663600 of:0.00398360 and:0.00313940 to:0.00259170 in:0.00197040 :0.98200000 From 65e55a9b7fc7c4f223d1fb6642db71d9c65b08fa Mon Sep 17 00:00:00 2001 From: ulaniuk Date: Sun, 23 Apr 2023 10:26:27 +0200 Subject: [PATCH 2/2] tets2 --- test-A/out.tsv | 14828 +++++++++++++++++++++++------------------------ 1 file changed, 7414 insertions(+), 7414 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