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POSTECH's Statistical Machine Translation Systems for NTCIR-9 PatentMT Task (English-to-Japanese).

, , , and . NTCIR, National Institute of Informatics (NII), (2011)

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The KLE's Subtopic Mining System for the NTCIR-9 INTENT Task., , and . NTCIR, National Institute of Informatics (NII), (2011)Linguistic analysis of non-ITG word reordering between language pairs with different word order typologies., and . ACM Trans. Asian Lang. Inf. Process., 13 (3): 11:1-11:12 (2014)The POSTECH's Statistical Machine Translation Systems for the NTCIR-8 Patent Translation Task., , and . NTCIR, page 397-402. National Institute of Informatics (NII), (2010)String-Based Molecule Generation Via Multi-Decoder VAE., , , , and . ICASSP, page 1-5. IEEE, (2023)Adaptive Knowledge Distillation Based on Entropy., , , and . ICASSP, page 7409-7413. IEEE, (2020)Knowledge Distillation Using Output Errors for Self-attention End-to-end Models., , , , , , and . ICASSP, page 6181-6185. IEEE, (2019)Postech's System Description for Medical Text Translation Task., , , and . WMT@ACL, page 229-232. The Association for Computer Linguistics, (2014)A discriminative reordering parser for IWSLT 2013., and . IWSLT (Evaluation Campaign), (2013)The POSTECH's statistical machine translation system for the IWSLT 2010., and . IWSLT, page 153-156. ISCA, (2010)An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation., , , , and . AMTA (1), page 53-64. The Association for Machine Translation in the Americas, (2016)