{'fraction_non_alphanumeric': 0.028493894165535955, 'fraction_numerical': 0.008141112618724558, 'mean_word_length': 5.473684210526316, '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}}
Projecting dependency syntax labels from English into Vietnamese in English-Vietnamese bilingual corpus

In natural language processing, the corpora play an important role, particularly labelled corpora, such as labelled part-of-speech corpora, labelled component syntax corpora, and labelled dependency syntax corpora. These labelled corpora are used for corpus-based research and give higher quality results than the non-labelled. In this paper, we have conducted a Vietnamese dependency label tagger based on English-Vietnamese bilingual corpus, in which English was tagged with dependency labels. The experimental results show that our method produces a high tagging result with LAS measurement of 73.5% and UAS measurement of 81.7%.