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Postech's System Description for Medical Text Translation Task.

, , , and . WMT@ACL, page 229-232. The Association for Computer Linguistics, (2014)

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The KLE's Subtopic Mining System for the NTCIR-9 INTENT Task., , and . NTCIR, National Institute of Informatics (NII), (2011)String-Based Molecule Generation Via Multi-Decoder VAE., , , , and . ICASSP, page 1-5. IEEE, (2023)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 . CoRR, (2022)The POSTECH Statistical Machine Translation Systems for NTCIR-7 Patent Translation Task., , , , and . NTCIR, National Institute of Informatics (NII), (2008)Improving Fluency by Reordering Target Constituents using MST Parser in English-to-Japanese Phrase-based SMT., , , and . MTSummit, (2009)ECAPA-TDNN Embeddings for Speaker Diarization., , , , , and . Interspeech, page 3560-3564. ISCA, (2021)Knowledge Distillation Using Output Errors for Self-attention End-to-end Models., , , , , , and . ICASSP, page 6181-6185. IEEE, (2019)Adaptive Knowledge Distillation Based on Entropy., , , and . ICASSP, page 7409-7413. IEEE, (2020)Postech's System Description for Medical Text Translation Task., , , and . WMT@ACL, page 229-232. The Association for Computer Linguistics, (2014)