Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages
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Abstract (arXiv)
Nowadays, the interest in code-mixing has become ubiquitous in Natural Language Processing (NLP); however, not much attention has been given to address this phenomenon for Speech Translation (ST) task. This can be solely attributed to the lack of code-mixed ST task labelled data. Thus, we introduce Prabhupadavani, which is a multilingual code-mixed ST dataset for 25 languages. It is multi-domain, covers ten language families, containing 94 hours of speech by 130+ speakers, manually aligned with corresponding text in the target language. The Prabhupadavani is about Vedic culture and heritage from Indic literature, where code-switching in the case of quotation from literature is important in the context of humanities teaching. To the best of our knowledge, Prabhupadvani is the first multi-lingual code-mixed ST dataset available in the ST literature. This data also can be used for a code-mixed machine translation task. All the dataset can be accessed at https://github.com/frozentoad9/CMST.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 27 Jan 2022.
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References · 13
- 2017Sequence-to-Sequence Models Can Directly Translate Foreign Speechcited by 121
- 2019Direct speech-to-speech translation with a sequence-to-sequence modelcited by 118
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- 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
- 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
- 2018End-to-End Automatic Speech Translation of Audiobookscited by 65
- 2020CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpuscited by 57
- 2020A New Dataset for Natural Language Inference from Code-mixed Conversationscited by 29
- 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
- 2021BSTC: A Large-Scale Chinese-English Speech Translation Datasetcited by 16
- 2018Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Trainingcited by 14
- 2017Towards speech-to-text translation without speech recognitioncited by 11
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