master-thesis/Tagging/crf_data_generator.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# crf data Generator"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append(\"../\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import Tagging.conllu_batch_generator as cbg"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def word2features(sent, i):\n",
" word = sent[i]['form']\n",
" postag = sent[i]['upostag']\n",
" features = [\n",
" 'bias',\n",
" #'word.lower=' + word.lower(),\n",
" 'word[-3:]=' + word[-3:],\n",
" 'word[-2:]=' + word[-2:],\n",
" 'word.isupper=%s' % word.isupper(),\n",
" 'word.istitle=%s' % word.istitle(),\n",
" 'word.isdigit=%s' % word.isdigit(),\n",
" 'postag=' + postag,\n",
" 'postag[:2]=' + postag[:2],\n",
" ]\n",
" if i > 0:\n",
" word1 = sent[i-1]['form']\n",
" postag1 = sent[i-1]['upostag']\n",
" features.extend([\n",
" '-1:word.lower=' + word1.lower(),\n",
" '-1:word.istitle=%s' % word1.istitle(),\n",
" '-1:word.isupper=%s' % word1.isupper(),\n",
" '-1:postag=' + postag1,\n",
" '-1:postag[:2]=' + postag1[:2],\n",
" ])\n",
" if i > 1:\n",
" word1 = sent[i-2]['form']\n",
" postag1 = sent[i-2]['upostag']\n",
" features.extend([\n",
" '-2:word.lower=' + word1.lower(),\n",
" '-2:word.istitle=%s' % word1.istitle(),\n",
" '-2:word.isupper=%s' % word1.isupper(),\n",
" '-2:postag=' + postag1,\n",
" '-2:postag[:2]=' + postag1[:2],\n",
" ])\n",
" else:\n",
" features.append('BOS')\n",
"\n",
" if i < len(sent)-1:\n",
" word1 = sent[i+1]['form']\n",
" postag1 = sent[i+1]['upostag']\n",
" features.extend([\n",
" '+1:word.lower=' + word1.lower(),\n",
" '+1:word.istitle=%s' % word1.istitle(),\n",
" '+1:word.isupper=%s' % word1.isupper(),\n",
" '+1:postag=' + postag1,\n",
" '+1:postag[:2]=' + postag1[:2],\n",
" ])\n",
" if i < len(sent)-2:\n",
" word1 = sent[i+1]['form']\n",
" postag1 = sent[i+1]['upostag']\n",
" features.extend([\n",
" '+2:word.lower=' + word1.lower(),\n",
" '+2:word.istitle=%s' % word1.istitle(),\n",
" '+2:word.isupper=%s' % word1.isupper(),\n",
" '+2:postag=' + postag1,\n",
" '+2:postag[:2]=' + postag1[:2],\n",
" ])\n",
" else:\n",
" features.append('EOS')\n",
"\n",
" return features"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def sent2labels(sent):\n",
" labels = []\n",
" for token in sent:\n",
" if token['misc'] is not None and 'food_type' in token['misc']:\n",
" labels.append(token['misc']['food_type'])\n",
" else:\n",
" labels.append(\"0\")\n",
" return labels"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def sent2features(sent):\n",
" return [word2features(sent, i) for i in range(len(sent))]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def sent2tokens(sent):\n",
" return [token['form'] for token in sent]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def feature2tokens(sent):\n",
" return [t[1].split(\"=\")[1] for t in sent]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"class ConlluCRFReaderIterator(object):\n",
" def __init__(self, parent):\n",
" self._parent = parent\n",
" self._iter = self._parent._conllu_reader.__iter__()\n",
"\n",
" def __next__(self):\n",
" features = None\n",
" labels = None\n",
" tokens = None\n",
"\n",
" if not self._parent._iter_documents:\n",
" next_sent = self._iter.__next__()[0]\n",
" features = sent2features(next_sent)\n",
" labels = sent2labels(next_sent)\n",
" tokens = sent2tokens(next_sent)\n",
" else:\n",
" next_doc = self._iter.__next__()\n",
" features = [sent2features(sentence) for sentence in next_doc]\n",
" labels = [sent2labels(sentence) for sentence in next_doc]\n",
" tokens = [sent2tokens(sentence) for sentence in next_doc]\n",
"\n",
" return features, labels, tokens"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"class ConlluCRFReader(object):\n",
" def __init__(self, path, iter_documents=False):\n",
" self._path = path\n",
" self._iter_documents = iter_documents\n",
"\n",
" self._conllu_reader = cbg.ConlluReader(path, iter_documents)\n",
"\n",
" def __iter__(self):\n",
" return ConlluCRFReaderIterator(self)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
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"file_extension": ".py",
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"name": "python",
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