When and Why is Document-level Context Useful in Neural Machine Translation? (English)
- New search for: Kim, Yunsu
- New search for: Tran, Duc Thanh
- New search for: Ney, Hermann
- New search for: Kim, Yunsu
- New search for: Tran, Duc Thanh
- New search for: Ney, Hermann
In:
The Fourth Workshop on Discourse in Machine Translation - proceedings of the workshop
; 24-34
;
2019
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ISBN:
- Conference paper / Electronic Resource
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Title:When and Why is Document-level Context Useful in Neural Machine Translation?
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Contributors:
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Conference:Workshop on Discourse in Machine Translation ; 4. ; 2019 ; Hongkong
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Published in:
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Publisher:
- New search for: Association for Computational Linguistics (ACL)
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Place of publication:Stroudsburg, PA
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Publication date:2019
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ISBN:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
- New search for: 17.46 / 18.00 / 54.75
- Further information on Basic classification
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Keywords:
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Classification:
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Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Analysing Coreference in Transformer OutputsLapshinova-Koltunski, Ekaterina / España-Bonet, Cristina / Genabith, Josef van et al. | 2019
- 2
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Context-Aware Neural Machine Translation DecodingMartínez-Garcia, Eva / Creus, Carles / España-Bonet, Cristina et al. | 2019
- 3
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When and Why is Document-level Context Useful in Neural Machine Translation?Kim, Yunsu / Tran, Duc Thanh / Ney, Hermann et al. | 2019
- 4
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Data augmentation using back-translation for context-aware neural machine translationSugiyama, Amane / Yoshinaga, Naoki et al. | 2019
- 5
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Context-aware Neural Machine Translation with Coreference InformationOhtani, Takumi / Kamigaito, Hidetaka / Nagata, Masaaki / Okumura, Manabu et al. | 2019
- 6
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Analysing concatenation approaches to document-level NMT in two different domainsScherrer, Yves / Tiedemann, Jörg / Loáiciga, Sharid et al. | 2019