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        <title>Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task</title>
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        <namePart type="given">Víctor</namePart>
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        <namePart type="given">Marta</namePart>
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        <namePart type="given">Sergio</namePart>
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            <title>Proceedings of the Third Conference on Machine Translation: Shared Task Papers</title>
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    <abstract>This paper describes Prompsit Language Engineering’s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier. We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation. Our submissions were very competitive in comparison with other participants on the 100 million word training corpus.</abstract>
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    <identifier type="doi">10.18653/v1/W18-6488</identifier>
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%0 Conference Proceedings
%T Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
%A Sánchez-Cartagena, Víctor M.
%A Bañón, Marta
%A Ortiz-Rojas, Sergio
%A Ramírez, Gema
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F sanchez-cartagena-etal-2018-prompsits
%X This paper describes Prompsit Language Engineering’s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A set of hand-crafted hard rules for discarding sentences with evident flaws were applied before the classifier. We explored different strategies for achieving a training corpus with diverse vocabulary and fluent sentences: language model scoring, an active-learning-inspired data selection algorithm and n-gram saturation. Our submissions were very competitive in comparison with other participants on the 100 million word training corpus.
%R 10.18653/v1/W18-6488
%U https://aclanthology.org/W18-6488
%U https://doi.org/10.18653/v1/W18-6488
%P 955-962

Markdown (Informal)

[Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task](https://aclanthology.org/W18-6488) (Sánchez-Cartagena et al., 2018)

• Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task (Sánchez-Cartagena et al., 2018)

ACL

• Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, and Gema Ramírez. 2018. Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 955–962, Belgium, Brussels. Association for Computational Linguistics.