72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
import argparse
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import os
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import shutil
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import codecs
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import re
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import classla
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from classla import Document
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from classla.models.common.conll import CoNLLFile
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from constants import *
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arg_parser = argparse.ArgumentParser(description='Parse Slovene strings and convert to TEI.')
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arg_parser.add_argument('-inlist', type=str, help='Input list file')
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arg_parser.add_argument('-outtei', type=str, help='Output TEI file')
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arguments = arg_parser.parse_args()
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input_file_name = arguments.inlist
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output_file_name = arguments.outtei
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NLP_CONFIG_MAP = {
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'treebank': 'sl_ssj_jos',
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'processors': 'tokenize,pos,lemma,depparse',
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'tokenize_pretokenized': True,
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'models_dir': CLASSLA_MODELS_DIRECTORY
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}
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XML_ID_PREFIX = 's'
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def run_pipeline(input_file_name, output_file_name):
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shutil.rmtree(TMP_DIRECTORY, True)
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os.makedirs(TMP_DIRECTORY, exist_ok=True)
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shutil.copyfile(input_file_name, STRING_LIST_FILE_NAME)
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run_obeliks4J(STRING_LIST_FILE_NAME, OBELIKS_RAW_FILE_NAME)
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fix_xml_ids(OBELIKS_RAW_FILE_NAME, OBELIKS_TWEAKED_FILE_NAME)
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run_classla(OBELIKS_TWEAKED_FILE_NAME, CLASSLA_FILE_NAME)
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run_tei_conversion(CLASSLA_FILE_NAME, TEI_INIT_FILE_NAME)
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shutil.copyfile(TEI_INIT_FILE_NAME, output_file_name)
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def run_obeliks4J(obeliks_file_name, classla_file_name):
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print('Running obeliks ...')
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obeliks_command = 'java -jar ' + OBELIKS_JAR_FILE_NAME + ' -d -if ' + STRING_LIST_FILE_NAME + ' -o ' + OBELIKS_RAW_FILE_NAME
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os.system(obeliks_command)
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def fix_xml_ids(input_file_name, output_file_name):
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print('Fixing xml ids ...')
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output_file = codecs.open(output_file_name, 'w')
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input_file = codecs.open(input_file_name, 'r')
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regexp = r'^(# sent_id = )(\d+\.\d+)$'
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for line in input_file:
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match = re.search(regexp, line)
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if (match):
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line = match.group(1) + XML_ID_PREFIX + match.group(2) + '\n'
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output_file.write(line)
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input_file.close()
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output_file.close()
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def run_classla(obeliks_file_name, classla_file_name):
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print('Running classla ...')
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doc = Document(text=None)
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conll_file = CoNLLFile(filename=obeliks_file_name)
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doc.conll_file = conll_file
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nlp = classla.Pipeline('sl', **NLP_CONFIG_MAP)
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result = nlp(doc)
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result.conll_file.write_conll(classla_file_name)
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def run_tei_conversion(classla_file_name, tei_file_name):
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print('Converting to tei ...')
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convert_command = ' '.join(['python', CONLLU_TEI_SCRIPT_NAME, classla_file_name, tei_file_name, '--translate', TRANSLATION_FILE_NAME])
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os.system(convert_command)
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run_pipeline(input_file_name, output_file_name)
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