Publication: Revisiting Negation in Neural Machine Translation
Revisiting Negation in Neural Machine Translation
Date
Date
Date
Citations
Tang, G., Rönchen, P., Sennrich, R., & Nivre, J. (2021). Revisiting Negation in Neural Machine Translation. Transactions of the Association for Computational Linguistics, 9, 740–755. https://doi.org/10.1162/tacl_a_00395
Abstract
Abstract
Abstract
In this paper, we evaluate the translation of negation both automatically and manually, in English–German (EN–DE) and English– Chinese (EN–ZH). We show that the ability of neural machine translation (NMT) models to translate negation has improved with deeper and more advanced networks, although the performance varies between language pairs and translation directions. The accuracy of manual evaluation in EN→DE, DE→EN, EN→ZH, and ZH→EN is 95.7%, 94.8%, 93.4%, and 91.7%, respectively. In addition, we show that under-translation is the mo
Additional indexing
Creators (Authors)
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Citations
Tang, G., Rönchen, P., Sennrich, R., & Nivre, J. (2021). Revisiting Negation in Neural Machine Translation. Transactions of the Association for Computational Linguistics, 9, 740–755. https://doi.org/10.1162/tacl_a_00395