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77 lines
2.6 KiB
Python
Executable File
77 lines
2.6 KiB
Python
Executable File
#!/usr/bin/env python3.5
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# coding=utf-8
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from argparse import ArgumentParser
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from xml.sax.saxutils import escape
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import chardet
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import spacy
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import textwrap
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SPACY_MODELS = {'de': 'de_core_news_sm',
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'el': 'el_core_news_sm',
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'en': 'en_core_web_sm',
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'es': 'es_core_news_sm',
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'fr': 'fr_core_news_sm',
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'it': 'it_core_news_sm',
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'nl': 'nl_core_news_sm',
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'pt': 'pt_core_news_sm'}
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# Parse the given arguments
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parser = ArgumentParser(description=('Tag a text file with spaCy and save it '
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'as a verticalized text file.'))
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parser.add_argument('i', metavar='txt-sourcefile')
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parser.add_argument('o', metavar='vrt-destfile')
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parser.add_argument('-l', '--language', choices=SPACY_MODELS.keys(),
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required=True)
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parser.add_argument('--check-encoding', action='store_true')
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args = parser.parse_args()
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# If requested: Check the encoding of the text contents from the input file
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# Else: Use utf-8
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if args.check_encoding:
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with open(args.i, "rb") as input_file:
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bytes = input_file.read()
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encoding = chardet.detect(bytes)['encoding']
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else:
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encoding = 'utf-8'
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# Load the text contents from the input file
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with open(args.i, encoding=encoding) as input_file:
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text = input_file.read()
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# spaCys NLP is limited to strings with maximum 1 million characters at
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# once. So we split it into suitable chunks.
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text_chunks = textwrap.wrap(text, 1000000, break_long_words=False)
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# the text variable potentially occupies a lot of system memory and is no
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# longer needed...
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del text
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# Setup the spaCy toolkit by loading the chosen language model
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nlp = spacy.load(SPACY_MODELS[args.language])
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# Create the output file in verticalized text format
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# See: http://cwb.sourceforge.net/files/CWB_Encoding_Tutorial/node3.html
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output_file = open(args.o, 'w+')
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output_file.write('<?xml version="1.0" encoding="UTF-8"?>\n<corpus>\n<text>\n')
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for text_chunk in text_chunks:
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doc = nlp(text_chunk)
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for sent in doc.sents:
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output_file.write('<s>\n')
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for token in sent:
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# Skip whitespace tokens
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if token.text.isspace():
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continue
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output_file.write('{}'.format(escape(token.text))
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+ '\t{}'.format(escape(token.lemma_))
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+ '\t{}'.format(token.pos_)
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+ '\t{}'.format(token.tag_)
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+ '\t{}\n'.format(token.ent_type_ or 'NULL'))
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output_file.write('</s>\n')
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output_file.write('</text>\n</corpus>')
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output_file.close()
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