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Rethinking decreolization: Language contact and change in Louisiana Creole
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Mayeux, Oliver. - : University of Cambridge, 2019. : Theoretical and Applied Linguistics, 2019. : Peterhouse, 2019
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| 82 |
Low-resource speech translation
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Abstract:
We explore the task of speech-to-text translation (ST), where speech in one language (source) is converted to text in a different one (target). Traditional ST systems go through an intermediate step where the source language speech is first converted to source language text using an automatic speech recognition (ASR) system, which is then converted to target language text using a machine translation (MT) system. However, this pipeline based approach is impractical for unwritten languages spoken by millions of people around the world, leaving them without access to free and automated translation services such as Google Translate. The lack of such translation services can have important real-world consequences. For example, in the aftermath of a disaster scenario, easily available translation services can help better co-ordinate relief efforts. How can we expand the coverage of automated ST systems to include scenarios which lack source language text? In this thesis we investigate one possible solution: we build ST systems to directly translate source language speech into target language text, thereby forgoing the dependency on source language text. To build such a system, we use only speech data paired with text translations as training data. We also specifically focus on low-resource settings, where we expect at most tens of hours of training data to be available for unwritten or endangered languages. Our work can be broadly divided into three parts. First we explore how we can leverage prior work to build ST systems. We find that neural sequence-to-sequence models are an effective and convenient method for ST, but produce poor quality translations when trained in low-resource settings. In the second part of this thesis, we explore methods to improve the translation performance of our neural ST systems which do not require labeling additional speech data in the low-resource language, a potentially tedious and expensive process. Instead we exploit labeled speech data for high-resource languages which is widely available and relatively easier to obtain. We show that pretraining a neural model with ASR data from a high-resource language, different from both the source and target ST languages, improves ST performance. In the final part of our thesis, we study whether ST systems can be used to build applications which have traditionally relied on the availability of ASR systems, such as information retrieval, clustering audio documents, or question/answering. We build proof-of-concept systems for two downstream applications: topic prediction for speech and cross-lingual keyword spotting. Our results indicate that low-resource ST systems can still outperform simple baselines for these tasks, leaving the door open for further exploratory work. This thesis provides, for the first time, an in-depth study of neural models for the task of direct ST across a range of training data settings on a realistic multi-speaker speech corpus. Our contributions include a set of open-source tools to encourage further research.
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Keyword:
automated translation systems; automatic speech recognition system; endangered languages; neural models; sequence-to-sequence models; speech translation systems; unwritten languages
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URL: https://doi.org/10.7488/era/86
https://hdl.handle.net/1842/36781
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| 83 |
Language vitality assessment of Deori: An endangered language
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| 84 |
The Hachijo Language of Japan: Phonology and Historical Development ; 日本の八丈語：音韻と歴史的発展
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| 85 |
Missing link: A centralised digital archive for endangered languages of Southern Africa
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| 86 |
Environmental Degradation and Language Instability
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In: Voices in Dangerous Times: Language Endangerment & Political Instability, March 22, 2019. Washington, DC (2019)
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| 87 |
The curse of poverty and marginalisation in language development:the case of Khoisan languages of Botswana
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In: Stellenbosch Papers in Linguistics Plus, Vol 58, Iss 0, Pp 219-233 (2019) (2019)
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| 88 |
Paisajes en lenguas indígenas latinoamericanas: representaciones, reivindicaciones y consumo
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In: Signo y seña, ISSN 2314-2189, Nº 35, 2019, pags. 89-106 (2019)
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| 89 |
Two centuries of spreading language loss
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In: Proceedings of the Linguistic Society of America; Vol 4 (2019): Proceedings of the Linguistic Society of America; 27:1–12 ; 2473-8689 (2019)
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| 90 |
Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
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In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://halshs.archives-ouvertes.fr/halshs-01841979 ; Language Documentation & Conservation, University of Hawaiʻi Press 2018, 12, pp.393-429 ; hdl.handle.net/10125/24793 (2018)
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| 91 |
The Crescent Languages: marginalised minority languages ; Les parlers du Croissant : des parlers minorisés et marginalisés
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In: Promoting or demoting: the transmission of minority languages from past to present ; https://halshs.archives-ouvertes.fr/halshs-01762216 ; Promoting or demoting: the transmission of minority languages from past to present, Apr 2018, Poitiers, France (2018)
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| 95 |
The emerging storywriter: a study of linguistic and meta-linguistic phenomena in the writing of Cèmuhi, a Melanesian language of New Caledonia
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| 96 |
Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
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In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://halshs.archives-ouvertes.fr/halshs-01841979 ; Language Documentation & Conservation, University of Hawaiʻi Press 2018, 12, pp.393-429 ; hdl.handle.net/10125/24793 (2018)
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| 97 |
The Crescent Languages: marginalised minority languages ; Les parlers du Croissant : des parlers minorisés et marginalisés
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In: Promoting or demoting: the transmission of minority languages from past to present ; https://halshs.archives-ouvertes.fr/halshs-01762216 ; Promoting or demoting: the transmission of minority languages from past to present, Apr 2018, Poitiers, France (2018)
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| 98 |
Discourses of speakerhood in Iyasa: Linguistic identity and authenticity in an endangered language
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| 100 |
Integrating Automatic Transcription into the Language Documentation Workflow: Experiments with Na Data and the Persephone Toolkit
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