2020
AACL
AACL 2020
NLPRL Odia-English: Indic Language Neural Machine Translation System
Abstract
AbstractIn this manuscript, we (team name is NLPRL) describe systems description that was submitted to the translation shared tasks at WAT 2020. We describe our model as transformer based NMT by using byte-level based BPE (BBPE). We used the OdiEnCorp 2.0 parallel corpus provided by the shared task organizer where the training, validation, and test data contain 69370, 13544, and 14344 lines of parallel sentences, respectively. The evaluation results show the BLEU score of English-to-Oria below the Organizer (1.34) and Oria-to-English direction shows above the Organizer (11.33).
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Conference Pioneer
— AACL 2020
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Interdisciplinary Bridge
— Deep Learning and Natural Language Processing
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Keyword Pioneer
— byte-level tokenization
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio
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Hot Topic Early Bird
— indic language