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Machine Translation from Signed to Spoken Languages: State of the Art and Challenges ...
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Abstract:
Automatic translation from signed to spoken languages is an interdisciplinary research domain, lying on the intersection of computer vision, machine translation and linguistics. Nevertheless, research in this domain is performed mostly by computer scientists in isolation. As the domain is becoming increasingly popular - the majority of scientific papers on the topic of sign language translation have been published in the past three years - we provide an overview of the state of the art as well as some required background in the different related disciplines. We give a high-level introduction to sign language linguistics and machine translation to illustrate the requirements of automatic sign language translation. We present a systematic literature review to illustrate the state of the art in the domain and then, harking back to the requirements, lay out several challenges for future research. We find that significant advances have been made on the shoulders of spoken language machine translation research. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2202.03086 https://arxiv.org/abs/2202.03086
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NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives ...
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A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives ...
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Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation ...
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Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL 2021)
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Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
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In: Soto, Xabier orcid:0000-0002-3622-6496 , Shterionov, Dimitar orcid:0000-0001-6300-797X , Poncelas, Alberto orcid:0000-0002-5089-1687 and Way, Andy orcid:0000-0001-5736-5930 (2020) Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. In: Annual Conference of the Association for Computational Linguistics, ACL, 5-10 July 2020, Seattle, WA, USA (Online). (2020)
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Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ...
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Towards language-agnostic alignment of product titles and descriptions: a neural approach
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In: Stein, Daniel, Shterionov, Dimitar orcid:0000-0001-6300-797X and Way, Andy orcid:0000-0001-5736-5930 (2019) Towards language-agnostic alignment of product titles and descriptions: a neural approach. In: 2019 World Wide Web Conference, 13-17 May 2019, San Francisco, USA. ISBN 978-1-4503-6675-5 (2019)
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APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task
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In: Shterionov, Dimitar orcid:0000-0001-6300-797X , Wagner, Joachim orcid:0000-0002-8290-3849 and do Carmo, Félix orcid:0000-0003-4193-3854 (2019) APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task. In: Fourth Conference on Machine Translation (WMT19), 01-02 Aug 2019, Florence, Italy. (2019)
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Lost in translation: loss and decay of linguistic richness in machine translation
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In: Way, Andy orcid:0000-0001-5736-5930 , Shterionov, Dimitar orcid:0000-0001-6300-797X and Vanmassenhove, Eva orcid:0000-0003-1162-820X (2019) Lost in translation: loss and decay of linguistic richness in machine translation. In: MT Summit XVII, 19-23 Aug 2019, Dublin,Ireland. (2019)
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Combining SMT and NMT back-translated data for efficient NMT
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In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Popović, Maja orcid:0000-0001-8234-8745 , Shterionov, Dimitar orcid:0000-0001-6300-797X , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2019) Combining SMT and NMT back-translated data for efficient NMT. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
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ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction ...
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Integration of a Multilingual Preordering Component into a Commercial SMT Platform
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 61-72 (2017) (2017)
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