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of 112
pro vyhledávání: '"Colin Cherry"'
End-to-end speech-to-speech translation (S2ST) without relying on intermediate text representations is a rapidly emerging frontier of research. Recent works have demonstrated that the performance of such direct S2ST systems is approaching that of con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8256e1b689fe46f847abaa17c546580f
http://arxiv.org/abs/2203.13339
http://arxiv.org/abs/2203.13339
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Autor:
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d5112276248b7b6fa2427d9ed857587
Publikováno v:
Interspeech 2021.
Publikováno v:
NAACL-HLT
Reference-free evaluation has the potential to make machine translation evaluation substantially more scalable, allowing us to pivot easily to new languages or domains. It has been recently shown that the probabilities given by a large, multilingual
Autor:
Colin Cherry, Dirk Padfield
Publikováno v:
IWSLT
Traditional translation systems trained on written documents perform well for text-based translation but not as well for speech-based applications. We aim to adapt translation models to speech by introducing actual lexical errors from ASR and segment
Publikováno v:
EMNLP (1)
Conditional masked language model (CMLM) training has proven successful for non-autoregressive and semi-autoregressive sequence generation tasks, such as machine translation. Given a trained CMLM, however, it is not clear what the best inference stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1396e13b02621eb7be936725a91acdef
http://arxiv.org/abs/2010.02352
http://arxiv.org/abs/2010.02352
Publikováno v:
IWSLT
There has been great progress in improving streaming machine translation, a simultaneous paradigm where the system appends to a growing hypothesis as more source content becomes available. We study a related problem in which revisions to the hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39d685370375aa9208e6dc5a19f43119
Publikováno v:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts.
Publikováno v:
ICASSP
Neural Machine Translation (NMT) models have demonstrated strong state of the art performance on translation tasks where well-formed training and evaluation data are provided, but they remain sensitive to inputs that include errors of various types.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c8f160dde643b10cbd529d88d83bd3c