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Mutual-Learning Improves End-to-End Speech Translation.

, , , and . EMNLP (1), page 3989-3994. Association for Computational Linguistics, (2021)

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Research on CSCW-Based Workflow Management System Application., , , , and . CSCWD, page 834-839. IEEE, (2007)Phrase Clustering for Smoothing TM Probabilities - or, How to Extract Paraphrases from Phrase Tables., , , and . COLING, page 608-616. Tsinghua University Press, (2010)Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data., and . CoNLL, page 314-323. ACL, (2016)Alibaba Submission to the WMT18 Parallel Corpus Filtering Task., , , and . WMT (shared task), page 917-922. Association for Computational Linguistics, (2018)The IRST English-Spanish translation system for european parliament speeches., , , , , , , , , and 1 other author(s). INTERSPEECH, page 2833-2836. ISCA, (2007)I2r Chinese-English translation system for IWSLT 2007., , , , and . IWSLT, page 55-60. ISCA, (2007)A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU., and . WMT@ACL, page 362-367. The Association for Computer Linguistics, (2014)Improving AMBER, an MT Evaluation Metric., , and . WMT@NAACL-HLT, page 59-63. The Association for Computer Linguistics, (2012)978-1-937284-20-6.Two-Stage Hypotheses Generation for Spoken Language Translation., , and . ACM Trans. Asian Lang. Inf. Process., 8 (1): 4:1-4:22 (2009)"Bilingual Expert" Can Find Translation Errors., , , , , and . AAAI, page 6367-6374. AAAI Press, (2019)