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Machine Translation from Signed to Spoken Languages: State of the Art and Challenges ...
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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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Abstract:
Recent studies in the field of Machine Translation (MT) and Natural Language Processing (NLP) have shown that existing models amplify biases observed in the training data. The amplification of biases in language technology has mainly been examined with respect to specific phenomena, such as gender bias. In this work, we go beyond the study of gender in MT and investigate how bias amplification might affect language in a broader sense. We hypothesize that the 'algorithmic bias', i.e. an exacerbation of frequently observed patterns in combination with a loss of less frequent ones, not only exacerbates societal biases present in current datasets but could also lead to an artificially impoverished language: 'machine translationese'. We assess the linguistic richness (on a lexical and morphological level) of translations created by different data-driven MT paradigms - phrase-based statistical (PB-SMT) and neural MT (NMT). Our experiments show that there is a loss of lexical and morphological richness in the ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2102.00287 https://arxiv.org/abs/2102.00287
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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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