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Introducing the Asian Language Treebank (ALT).

, , , , and . LREC, European Language Resources Association (ELRA), (2016)

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Universal Multimodal Representation for Language Understanding., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (7): 9169-9185 (July 2023)Context-Aware Smoothing for Neural Machine Translation., , , , and . IJCNLP(1), page 11-20. Asian Federation of Natural Language Processing, (2017)Japanese Word Sense Disambiguation using the Simple Bayes and Support Vector Machine Methods., , , , and . SENSEVAL@ACL, page 135-138. Association for Computational Linguistics, (2001)Integrating Prior Translation Knowledge Into Neural Machine Translation., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2022)Language Model Pre-training on True Negatives., , , and . AAAI, page 14002-14010. AAAI Press, (2023)Multi-Source Cross-Lingual Constituency Parsing., , , , , and . ICON, page 341-346. NLP Association of India (NLPAI), (2021)Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English., , , , , , and . WAT@EMNLP-IJCNLP, page 68-75. Association for Computational Linguistics, (2019)An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation., , , and . WAT@COLING, page 139-148. The COLING 2016 Organizing Committee, (2016)A Bilingual Graph-Based Semantic Model for Statistical Machine Translation., , , , and . IJCAI, page 2950-2956. IJCAI/AAAI Press, (2016)FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT., , , , , and . COLING, page 5014-5020. International Committee on Computational Linguistics, (2022)