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1
Joint WMT Submission of the QUAERO Project
Ney, Hermann; Senellart, Jean; Crego, Josep Maria. - : Association for Computational Linguistics, 2022
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2
Automatic Bilingual Markup Transfer ...
Abstract: We describe the task of bilingual markup transfer, which involves placing markup tags from a source sentence into a fixed target translation. This task arises in practice when a human translator generates the target translation without markup, and then the system infers the placement of markup tags. This task contrasts from previous work in which markup transfer is performed jointly with machine translation. We propose two novel metrics and evaluate several approaches based on unsupervised word alignments as well as a supervised neural sequence-to-sequence model. Our best approach achieves an average accuracy of 94.7% across six language pairs, indicating its potential usefulness for real-world localization tasks. ...
URL: https://underline.io/lecture/38424-automatic-bilingual-markup-transfer
https://dx.doi.org/10.48448/5ynm-s029
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3
End-to-End Neural Word Alignment Outperforms GIZA++ ...
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4
Adding Interpretable Attention to Neural Translation Models Improves Word Alignment ...
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5
Extended Translation Models in Phrase-based Decoding
Guta, Andreas Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2015
DNB Subject Category Language
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6
Comparison of Data Selection Techniques for the Translation of Video Lectures
In: The eleventh biennial conference of the Association for Machine Translation in the Americas (AMTA-2014) ; https://hal.archives-ouvertes.fr/hal-01157888 ; The eleventh biennial conference of the Association for Machine Translation in the Americas (AMTA-2014), AMTA, Oct 2014, Vancouver, Canada (2014)
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7
Training phrase translation models with leaving-one-out
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 475-484
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