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1
Machine Translation from Signed to Spoken Languages: State of the Art and Challenges ...
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2
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives ...
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3
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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4
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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5
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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6
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives ...
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7
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation ...
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8
Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL 2021)
Leeson, Lorraine; De Sisto, Mirella; Shterionov, Dimitar. - : Association for Machine Translation in the Americas, 2021
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9
A review of the state-of-the-art in automatic post-editing [<Journal>]
do Carmo, Félix [Verfasser]; Shterionov, Dimitar [Verfasser]; Moorkens, Joss [Verfasser].
DNB Subject Category Language
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10
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
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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11
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ...
Abstract: Machine translation (MT) has benefited from using synthetic training data originating from translating monolingual corpora, a technique known as backtranslation. Combining backtranslated data from different sources has led to better results than when using such data in isolation. In this work we analyse the impact that data translated with rule-based, phrase-based statistical and neural MT systems has on new MT systems. We use a real-world low-resource use-case (Basque-to-Spanish in the clinical domain) as well as a high-resource language pair (German-to-English) to test different scenarios with backtranslation and employ data selection to optimise the synthetic corpora. We exploit different data selection strategies in order to reduce the amount of data used, while at the same time maintaining high-quality MT systems. We further tune the data selection method by taking into account the quality of the MT systems used for backtranslation and lexical diversity of the resulting corpora. Our experiments show ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2005.00308
https://arxiv.org/abs/2005.00308
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12
Towards language-agnostic alignment of product titles and descriptions: a neural approach
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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13
APE through neural and statistical MT with augmented data: ADAPT/DCU submission to the WMT 2019 APE Shared task
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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14
Lost in translation: loss and decay of linguistic richness in machine translation
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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15
Combining SMT and NMT back-translated data for efficient NMT
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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16
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction ...
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17
Human versus automatic quality evaluation of NMT and PBSMT [<Journal>]
Shterionov, Dimitar [Verfasser]; Superbo, Riccardo [Sonstige]; Nagle, Pat [Sonstige].
DNB Subject Category Language
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18
Integration of a Multilingual Preordering Component into a Commercial SMT Platform
In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 61-72 (2017) (2017)
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19
SignON: Bridging the gap between sign and spoken languages
Saggion, Horacio; Shterionov, Dimitar; Labaka, Gorka. - : CEUR Workshop Proceedings
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