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His primary areas of investigation include Artificial intelligence, Machine translation, Natural language processing, Translation and Speech recognition. His Word, Phrase and Training set study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Evaluation methods, bridging the gap between disciplines. His Machine translation study incorporates themes from Sentence, Speech corpus, Machine learning and Domain.
In his study, which falls under the umbrella issue of Natural language processing, Conditional random field is strongly linked to Segmentation. His Translation study combines topics from a wide range of disciplines, such as Language model, Label propagation, Cluster analysis and Interpolation. The study incorporates disciplines such as Computer-assisted translation, Semantic similarity and Speech synthesis i
In his study, which falls under the umbrella issue of Natural language processing, Conditional random field is strongly linked to Segmentation. His Translation study combines topics from a wide range of disciplines, such as Language model, Label propagation, Cluster analysis and Interpolation. The study incorporates disciplines such as Computer-assisted translation, Semantic similarity and Speech synthesis i
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CoRRno. 8 (2023): 1-24
58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020) (2020): 460-464
Speech-to-Speech Translationpp.87-91, (2019)
IEICE Transactions on Information and Systemsno. 9 (2019): 1890-1890
AAAI'18/IAAI'18/EAAI'18: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence and Thirtieth Innovative Applications of Artificial Intelligence Conference and Eighth AAAI Symposium on Educational Advances in Artificial Intelligencepp.4792-4799, (2019)
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semanticscholar(2018)
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2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018)pp.4785-4790, (2018)
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