{'fraction_non_alphanumeric': 0.018, 'fraction_numerical': 0.002, 'mean_word_length': 5.185185185185185, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Adaptive Automatic Mark-up Tool for Legacy Dictionaries

This paper considers the problem of developing a trainable software tool for automatic structural mark-up of legacy dictionaries that have been digitalized in a rich-text format. The proposed method is intended to obtain the accurate structural representation of an entry from its visual formatting, which is assumed to be consistent throughout the dictionary. The obtained XML structures are assured to be valid against the specified DTD [1].