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Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? ...
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CTC-based Compression for Direct Speech Translation ...
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Abstract:
Previous studies demonstrated that a dynamic phone-informed compression of the input audio is beneficial for speech translation (ST). However, they required a dedicated model for phone recognition and did not test this solution for direct ST, in which a single model translates the input audio into the target language without intermediate representations. In this work, we propose the first method able to perform a dynamic compression of the input indirect ST models. In particular, we exploit the Connectionist Temporal Classification (CTC) to compress the input sequence according to its phonetic characteristics. Our experiments demonstrate that our solution brings a 1.3-1.5 BLEU improvement over a strong baseline on two language pairs (English-Italian and English-German), contextually reducing the memory footprint by more than 10%. ... : Accepted at EACL2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2102.01578 https://dx.doi.org/10.48550/arxiv.2102.01578
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A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation ...
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DiscoMT 2017 Shared Task on Cross-lingual Pronoun Prediction
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DiscoMT 2016 Shared Task on Cross-lingual Pronoun Prediction
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Neural versus Phrase-Based Machine Translation Quality: a Case Study ...
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Translation project adaptation for MT-enhanced computer assisted translation
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-01157893 ; Machine Translation, Springer Verlag, 2014, Machine Translation Journal, 28, pp.127. ⟨10.1007/s10590-014-9152-1⟩ (2014)
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