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Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data.

, , , and . ACL (Findings), page 7637-7650. Association for Computational Linguistics, (2023)

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Generalizing Hierarchical Phrase-based Translation using Rules with Adjacent Nonterminals., and . HLT-NAACL, page 349-352. The Association for Computational Linguistics, (2010)Possible schemes on baseband signal joint detection concept for multimode terminal., and . DICTAP, page 52-57. IEEE, (2012)Variational Neural Machine Translation with Normalizing Flows., , , and . ACL, page 7771-7777. Association for Computational Linguistics, (2020)A Phrase-Based Context-Dependent Joint Probability Model for Named Entity Translation., , , and . IJCNLP, volume 3651 of Lecture Notes in Computer Science, page 600-611. Springer, (2005)Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning., and . HLT-NAACL, page 335-341. The Association for Computational Linguistics, (2013)Discriminative Word Alignment with a Function Word Reordering Model., , and . EMNLP, page 534-544. ACL, (2010)Phrase-Based Statistical Machine Translation: A Level of Detail Approach., , , and . IJCNLP, volume 3651 of Lecture Notes in Computer Science, page 576-587. Springer, (2005)One Wide Feedforward Is All You Need., , , and . WMT, page 1031-1044. Association for Computational Linguistics, (2023)Automating Behavioral Testing in Machine Translation., , , , and . WMT, page 1014-1030. Association for Computational Linguistics, (2023)LTE Physical Layer Identity Detection: Frequency vs Time Domain Schemes., , and . ICC, page 1-5. IEEE, (2011)