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Zhenhan Wang

ورقة واحدة في مجموعة PaperMetrix

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  1. A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging

    2021 · ACM Transactions on Asian and Low-Resource Language Information Processing

    The smallest semantic unit of the Burmese language is called the syllable. In the present study, it is intended to propose the first neural joint learning model for Burmese syllable segmentation, word segmentation, and part-of-speech …