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CoVoST 2 and Massively Multilingual Speech-to-Text Translation

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arxiv 2007.10310 v3 pith:74J62NLI submitted 2020-07-20 cs.CL cs.SDeess.AS

CoVoST 2 and Massively Multilingual Speech-to-Text Translation

classification cs.CL cs.SDeess.AS
keywords translationspeechmultilinguallanguagescovostdatadatasetsenglish
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Speech translation has recently become an increasingly popular topic of research, partly due to the development of benchmark datasets. Nevertheless, current datasets cover a limited number of languages. With the aim to foster research in massive multilingual speech translation and speech translation for low resource language pairs, we release CoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. This represents the largest open dataset available to date from total volume and language coverage perspective. Data sanity checks provide evidence about the quality of the data, which is released under CC0 license. We also provide extensive speech recognition, bilingual and multilingual machine translation and speech translation baselines with open-source implementation.

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Cited by 17 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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