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162 lines
6.0 KiB
162 lines
6.0 KiB
# -*- coding: utf-8 -*-
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from __future__ import unicode_literals
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import numpy as np
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from keras.models import load_model
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import sys
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from prepare_data import *
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np.random.seed(7)
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data = Data('l', shuffle_all_inputs=False)
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content = data._read_content('data/SlovarIJS_BESEDE_utf8.lex')
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dictionary, max_word, max_num_vowels, vowels, accented_vowels = data._create_dict(content)
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feature_dictionary = data._create_slovene_feature_dictionary()
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syllable_dictionary = data._create_syllables_dictionary(content, vowels)
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accented_vowels = ['ŕ', 'á', 'ä', 'é', 'ë', 'ě', 'í', 'î', 'ó', 'ô', 'ö', 'ú', 'ü']
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letter_location_model, syllable_location_model, syllabled_letters_location_model = data.load_location_models(
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'cnn/word_accetuation/cnn_dictionary/v3_10/20_test_epoch.h5',
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'cnn/word_accetuation/syllables/v2_4/20_test_epoch.h5',
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'cnn/word_accetuation/syllabled_letters/v2_5_3/20_test_epoch.h5')
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letter_type_model, syllable_type_model, syllabled_letter_type_model = data.load_type_models(
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'cnn/accent_classification/letters/v2_1/20_test_epoch.h5',
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'cnn/accent_classification/syllables/v1_0/20_test_epoch.h5',
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'cnn/accent_classification/syllabled_letters/v1_0/20_test_epoch.h5')
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from lxml import etree
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def xml_words_generator(xml_path):
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for event, element in etree.iterparse(xml_path, tag="LexicalEntry", encoding="UTF-8"):
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words = []
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for child in element:
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if child.tag == 'WordForm':
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msd = None
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word = None
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for wf in child:
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if 'att' in wf.attrib and wf.attrib['att'] == 'msd':
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msd = wf.attrib['val']
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elif wf.tag == 'FormRepresentation':
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for form_rep in wf:
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if form_rep.attrib['att'] == 'zapis_oblike':
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word = form_rep.attrib['val']
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# if msd is not None and word is not None:
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# pass
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# else:
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# print('NOOOOO')
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words.append([word, '', msd, word])
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yield words
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gen = xml_words_generator('data/Sloleks_v1.2.xml')
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# Words proccesed: 650250
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# Word indeks: 50023
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# Word number: 50023
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from lxml import etree
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import time
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gen = xml_words_generator('data/Sloleks_v1.2.xml')
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word_glob_num = 0
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word_limit = 0
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iter_num = 50000
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word_index = 0
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start_timer = time.time()
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iter_index = 0
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words = []
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lexical_entries_load_number = 0
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lexical_entries_save_number = 0
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# INSIDE
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word_glob_num = 1500686
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word_limit = 50000
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iter_index = 30
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done_lexical_entries = 33522
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import gc
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with open("data/new_sloleks/new_sloleks.xml", "ab") as myfile:
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# myfile2 = open('data/new_sloleks/p' + str(iter_index) + '.xml', 'ab')
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for event, element in etree.iterparse('data/Sloleks_v1.2.xml', tag="LexicalEntry", encoding="UTF-8", remove_blank_text=True):
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# LOAD NEW WORDS AND ACCENTUATE THEM
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# print("HERE")
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if lexical_entries_save_number < done_lexical_entries:
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g = next(gen)
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# print(lexical_entries_save_number)
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lexical_entries_save_number += 1
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lexical_entries_load_number += 1
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print(lexical_entries_save_number)
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del g
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gc.collect()
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continue
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if word_glob_num >= word_limit:
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# myfile2.close()
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# myfile2 = open('data/new_sloleks/p' + str(iter_index) + '.xml', 'ab')
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iter_index += 1
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print("Words proccesed: " + str(word_glob_num))
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print("Word indeks: " + str(word_index))
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print("Word number: " + str(len(words)))
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print("lexical_entries_load_number: " + str(lexical_entries_load_number))
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print("lexical_entries_save_number: " + str(lexical_entries_save_number))
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end_timer = time.time()
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print("Elapsed time: " + "{0:.2f}".format((end_timer - start_timer) / 60.0) + " minutes")
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word_index = 0
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words = []
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while len(words) < iter_num:
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try:
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words.extend(next(gen))
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lexical_entries_load_number += 1
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except:
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break
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# if word_glob_num > 1:
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# break
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data = Data('l', shuffle_all_inputs=False)
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location_accented_words, accented_words = data.accentuate_word(words, letter_location_model, syllable_location_model,
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syllabled_letters_location_model,
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letter_type_model, syllable_type_model, syllabled_letter_type_model,
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dictionary, max_word, max_num_vowels, vowels, accented_vowels,
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feature_dictionary, syllable_dictionary)
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word_limit += len(words)
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# READ DATA
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for child in element:
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if child.tag == 'WordForm':
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msd = None
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word = None
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for wf in child:
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if wf.tag == 'FormRepresentation':
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new_element = etree.Element('feat')
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new_element.attrib['att'] = 'naglasna_mesta_oblike'
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new_element.attrib['val'] = location_accented_words[word_index]
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wf.append(new_element)
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new_element = etree.Element('feat')
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new_element.attrib['att'] = 'naglašena_oblika'
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new_element.attrib['val'] = accented_words[word_index]
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wf.append(new_element)
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word_glob_num += 1
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word_index += 1
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# print(etree.tostring(element, encoding="UTF-8"))
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# myfile2.write(etree.tostring(element, encoding="UTF-8", pretty_print=True))
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myfile.write(etree.tostring(element, encoding="UTF-8", pretty_print=True))
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element.clear()
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lexical_entries_save_number += 1
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