DE eng

Search in the Catalogues and Directories

Hits 1 – 11 of 11

1
Joint WMT 2012 Submission of the QUAERO Project
Le, Hai-son; Lavergne, Thomas; Freitag, Markus. - : Association for Computational Linguistics, 2022
BASE
Show details
2
Joint WMT Submission of the QUAERO Project
Ney, Hermann; Senellart, Jean; Crego, Josep Maria. - : Association for Computational Linguistics, 2022
BASE
Show details
3
Revisiting Multi-Domain Machine Translation
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159744 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35. ⟨10.1162/tacl_a_00351⟩ (2021)
BASE
Show details
4
Revisiting Multi-Domain Machine Translation
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159743 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35 (2021)
BASE
Show details
5
Boosting Neural Machine Translation with Similar Translations
In: Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02956324 ; Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle, United States. pp.1570-1579, ⟨10.18653/v1/2020.acl-main.143⟩ (2020)
Abstract: International audience ; This paper explores data augmentation methods for training Neural Machine Translation to make use of similar translations, in a comparable way a human translator employs fuzzy matches. In particular, we show how we can simply feed the neural model with information on both source and target sides of the fuzzy matches, we also extend the similarity to include semantically related translations retrieved using distributed sentence representations. We show that translations based on fuzzy matching provide the model with "copy" information while translations based on embedding similarities tend to extend the translation "context". Results indicate that the effect from both similar sentences are adding up to further boost accuracy, are combining naturally with model fine-tuning and are providing dynamic adaptation for unseen translation pairs. Tests on multiple data sets and domains show consistent accuracy improvements. To foster research around these techniques, we also release an Open-Source toolkit with efficient and flexible fuzzy-match implementation.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Fuzzy Match; Neural Machine Translation; Translation Memory
URL: https://doi.org/10.18653/v1/2020.acl-main.143
https://hal.archives-ouvertes.fr/hal-02956324/file/2020.acl-main.144.pdf
https://hal.archives-ouvertes.fr/hal-02956324
https://hal.archives-ouvertes.fr/hal-02956324/document
BASE
Hide details
6
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation
In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343215 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China. ⟨10.5281/zenodo.3524978⟩ ; https://zenodo.org/communities/iwslt2019/ (2019)
BASE
Show details
7
Fixing Translation Divergences in Parallel Corpora for Neural MT
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ; Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01908309 ; Conference on Empirical Methods in Natural Language Processing, Nov 2018, Bruxelles, Belgium. pp.2967 - 2973 (2018)
BASE
Show details
8
A multilingual corpus of tweets for domain adaptation
In: https://hal.archives-ouvertes.fr/hal-01529857 ; [Research Report] LIMSI-CNRS; ELDA; Systran. 2017 (2017)
BASE
Show details
9
N-code: an open-source Bilingual N-gram SMT Toolkit
In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal.archives-ouvertes.fr/hal-01960706 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2011, 96, pp.49-58 (2011)
BASE
Show details
10
Improving statistical MT by coupling reordering and decoding
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 20 (2007) 3, 199-215
OLC Linguistik
Show details
11
Discriminative Alignment Training without Annotated Data for Machine Translation
In: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers ; Conference of the North American Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-00430864 ; Conference of the North American Chapter of the Association for Computational Linguistics, Apr 2007, United States. pp.85-88 (2007)
BASE
Show details

Catalogues
0
0
1
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
10
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern