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1
The IWSLT 2018 Evaluation Campaign
Turchi, Marco; Federico, Marcello; Jan, Niehues. - : Association for Computational Linguistics, 2022
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2
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? ...
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3
CTC-based Compression for Direct Speech Translation ...
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 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2102.01578
https://dx.doi.org/10.48550/arxiv.2102.01578
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4
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation ...
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5
DiscoMT 2017 Shared Task on Cross-lingual Pronoun Prediction
Loáiciga, Sharid; Stymne, Sara; Nakov, Preslav. - : Uppsala University, 2017
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6
DiscoMT 2016 Shared Task on Cross-lingual Pronoun Prediction
Guillou, Liane; Hardmeier, Christian; Nakov, Preslav. - : Uppsala University, 2017
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7
Neural versus Phrase-Based Machine Translation Quality: a Case Study ...
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8
Translation project adaptation for MT-enhanced computer assisted translation [<Journal>]
Cettolo, Mauro [Verfasser]; Bertoldi, Nicola [Verfasser]; Federico, Marcello [Verfasser].
DNB Subject Category Language
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9
Online adaptation to post-edits for phrase-based statistical machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 28 (2014) 3, 309-339
OLC Linguistik
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10
Translation project adaptation for MT-enhanced computer assisted translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 28 (2014) 2, 127-150
OLC Linguistik
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11
Translation project adaptation for MT-enhanced computer assisted translation
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. &#x27E8;10.1007/s10590-014-9152-1&#x27E9; (2014)
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12
The Matecat Tool
In: 129 ; 132 (2014)
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13
Evaluation of BIC-based algorithms for audio segmentation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 19 (2005) 2, 147-170
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14
Evaluation of BIC-based algorithms for audio segmentation
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 19 (2005) 2, 147-170
OLC Linguistik
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15
Language portability of a speech understanding system
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 12 (1998) 1, 1-21
BLLDB
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16
Language modelling for efficient beam-search
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 9 (1995) 4, 353-379
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