Added some fixes in converting sloleks to the one with stressed words
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902de059be
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@ -46,7 +46,7 @@ print('Commencing accentuator!')
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rate = 100000
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start_timer = time.time()
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with open("data/new_sloleks/new_sloleks.tab", "a") as myfile:
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with open("data/new_sloleks/new_sloleks2.tab", "a") as myfile:
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for index in range(300000, len(new_content), rate):
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if index+rate >= len(new_content):
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words = [[el[0], '', el[2], el[0]] for el in new_content][index:len(new_content)]
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@ -52,14 +52,14 @@ word_index = 0
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# done_lexical_entries = 33522
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data = Data('s', shuffle_all_inputs=False)
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accentuated_content = data._read_content('data/new_sloleks/new_sloleks.tab')
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accentuated_content = data._read_content('data/new_sloleks/final_sloleks2.tab')
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start_timer = time.time()
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print('Copy initialization complete')
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with open("data/new_sloleks/final_sloleks.xml", "ab") as myfile:
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with open("data/new_sloleks/final_sloleks2.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/new_sloleks/final_sloleks_read.xml', tag="LexicalEntry", encoding="UTF-8", remove_blank_text=True):
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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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# for event, element in etree.iterparse('data/Sloleks_v1.2.xml', tag="LexicalEntry", encoding="UTF-8", remove_blank_text=True):
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# if word_glob_num >= word_limit:
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# myfile2.close()
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@ -135,6 +135,7 @@ with open("data/new_sloleks/final_sloleks.xml", "ab") as myfile:
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new_element = etree.Element('feat')
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new_element.attrib['att'] = 'SAMPA'
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print(accentuated_word)
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new_element.attrib['val'] = convert_to_SAMPA(accentuated_word)
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wf.append(new_element)
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