MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible (2020.lrec-1)
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| Challenge: | The Bible is the same for all the languages, thus constituting a multilingual and comparable 2 spoken corpus, is not exploited to date. |
| Approach: | They propose to add multilingual links between small speech segments in different languages . they use a large dataset of 8,130 parallel spoken utterances across 8 languages - maSS . |
| Outcome: | The proposed model can build automatic speech recognition models for 700 languages. |
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| Challenge: | a large-scale text classification dataset encompassing 1504 languages is needed to address this gap . low-resource languages are often overlooked due to the scarcity of evaluation datasets. |
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| Challenge: | In this study, we explore massively multilingual low-resource neural machine translation. |
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The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration (2020.lrec-1)
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Arya D. McCarthy, Rachel Wicks, Dylan Lewis, Aaron Mueller, Winston Wu, Oliver Adams, Garrett Nicolai, Matt Post, David Yarowsky
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Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann
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Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot, Holger Schwenk
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Common Voice: A Massively-Multilingual Speech Corpus (2020.lrec-1)
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Rosana Ardila, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer, Michael Henretty, Reuben Morais, Lindsay Saunders, Francis Tyers, Gregor Weber
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Creating a Translation Matrix of the Bible’s Names Across 591 Languages (L18-1)
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| Challenge: | In low-resource languages, the Bible is the only significant bilingual, or even monolingual, text available . standard word alignment tools can be noisy, making downstream tasks difficult . a novel resource of 1129 aligned Bible person and place names is developed . |
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