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XNMT: The eXtensible Neural Machine Translation Toolkit.

, , , , , , , , , , , , and . AMTA (1), page 185-192. Association for Machine Translation in the Americas, (2018)

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Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data., , , and . CoRR, (2022)The 2015 KIT IWSLT speech-to-text systems for English and German., , , , , and . IWSLT (Evaluation Campaign), (2015)Paraphrases as Foreign Languages in Multilingual Neural Machine Translation., , and . ACL (2), page 113-122. Association for Computational Linguistics, (2019)Automating Behavioral Testing in Machine Translation., , , , and . WMT, page 1014-1030. Association for Computational Linguistics, (2023)Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff., , , , and . Trans. Assoc. Comput. Linguistics, (2014)Consistent Transcription and Translation of Speech., , , , and . Trans. Assoc. Comput. Linguistics, (2020)Toward Robust Neural Machine Translation for Noisy Input Sequences., , and . IWSLT, page 90-96. International Workshop on Spoken Language Translation, (2017)Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation., , and . WMT, page 232-243. Association for Computational Linguistics, (2018)Fluent Translations from Disfluent Speech in End-to-End Speech Translation., , and . NAACL-HLT (1), page 2786-2792. Association for Computational Linguistics, (2019)Jaguc - a Software package for Environmental Diversity Analyses., , , , , , and . J. Bioinform. Comput. Biol., 9 (6): 749-773 (2011)