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Hits 81 – 100 of 189

81
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
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82
Que valent les traducteurs automatiques de la science-fiction ?
In: ISSN: 2261-6446 ; EISSN: 2261-6470 ; CNRS Le journal ; https://hal.archives-ouvertes.fr/hal-02934841 ; CNRS Le journal, CNRS, 2020 ; https://lejournal.cnrs.fr/billets/que-valent-les-traducteurs-automatiques-de-la-science-fiction (2020)
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83
Machine Translation for the Normalisation of 17th c. French ; Traduction automatique pour la normalisation du français du XVII e siècle
In: TALN 2020 ; https://hal.archives-ouvertes.fr/hal-02596669 ; TALN 2020, ATALA, Jun 2020, Nancy, France (2020)
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84
Hindi Visual Genome 1.1
Parida, Shantipriya; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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85
Czech image captioning, machine translation, sentiment analysis and summarization (Neural Monkey models)
Libovický, Jindřich; Rosa, Rudolf; Helcl, Jindřich. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2020
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86
Parallel text dataset for Neural Machine Translation (French -> Fongbe, French -> Ewe) ...
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87
Parallel text dataset for Neural Machine Translation (French -> Fongbe, French -> Ewe) ...
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88
MultiWord Expression Aware Neural Machine Translation ...
Zaninello, Andrea; Birch, Alexandra. - : Zenodo, 2020
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89
MultiWord Expression Aware Neural Machine Translation ...
Zaninello, Andrea; Birch, Alexandra. - : Zenodo, 2020
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90
The impact of distributed neural machine translation in sentiment analysis ...
Μανιάς, Γεώργιος. - : Πανεπιστήμιο Πειραιώς, 2020
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91
UPC: An Open Word-Sense Annotated Parallel Corpora for Machine Translation Study
Vu; Nguyen; Shin...
In: Applied Sciences ; Volume 10 ; Issue 11 (2020)
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92
An English-Chinese Machine Translation and Evaluation Method for Geographical Names
Ren; Mao; Wang...
In: ISPRS International Journal of Geo-Information ; Volume 9 ; Issue 3 (2020)
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93
Multi-Source Neural Model for Machine Translation of Agglutinative Language
In: Future Internet ; Volume 12 ; Issue 6 (2020)
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94
Hybrid Translation with Classification: Revisiting Rule-Based and Neural Machine Translation
In: Electronics ; Volume 9 ; Issue 2 (2020)
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95
Multimodal machine translation
Dave, Mihika. - 2020
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96
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation
Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Association for Computational Linguistics, 2020
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97
Groundbreaking technologies in machine translation ; Революционные технологии в области машинного перевода
Panasenkov, N. A.; Korneeva, L. I.; Панасенков, Н. А.. - : ООО «Издательский Дом «Ажур», 2020
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98
Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
In: 11 ; 1 ; 61 ; 80 (2020)
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99
Human-assisted Neural Machine Translation: Harnessing Human Feedback for Machine Translation
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100
Open source quality control tool for translation memory using artificial intelligence
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