@inproceedings{sominsky-wintner-2019-automatic,
title = "Automatic Detection of Translation Direction",
author = "Sominsky, Ilia and
Wintner, Shuly",
editor = "Mitkov, Ruslan and
Angelova, Galia",
booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
month = sep,
year = "2019",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/R19-1130",
doi = "10.26615/978-954-452-056-4_130",
pages = "1131--1140",
abstract = "Parallel corpora are crucial resources for NLP applications, most notably for machine translation. The direction of the (human) translation of parallel corpora has been shown to have significant implications for the quality of statistical machine translation systems that are trained with such corpora. We describe a method for determining the direction of the (manual) translation of parallel corpora at the sentence-pair level. Using several linguistically-motivated features, coupled with a neural network model, we obtain high accuracy on several language pairs. Furthermore, we demonstrate that the accuracy is correlated with the (typological) distance between the two languages.",
}
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%0 Conference Proceedings
%T Automatic Detection of Translation Direction
%A Sominsky, Ilia
%A Wintner, Shuly
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F sominsky-wintner-2019-automatic
%X Parallel corpora are crucial resources for NLP applications, most notably for machine translation. The direction of the (human) translation of parallel corpora has been shown to have significant implications for the quality of statistical machine translation systems that are trained with such corpora. We describe a method for determining the direction of the (manual) translation of parallel corpora at the sentence-pair level. Using several linguistically-motivated features, coupled with a neural network model, we obtain high accuracy on several language pairs. Furthermore, we demonstrate that the accuracy is correlated with the (typological) distance between the two languages.
%R 10.26615/978-954-452-056-4_130
%U https://aclanthology.org/R19-1130
%U https://doi.org/10.26615/978-954-452-056-4_130
%P 1131-1140
Markdown (Informal)
[Automatic Detection of Translation Direction](https://aclanthology.org/R19-1130) (Sominsky & Wintner, RANLP 2019)
ACL
- Ilia Sominsky and Shuly Wintner. 2019. Automatic Detection of Translation Direction. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1131–1140, Varna, Bulgaria. INCOMA Ltd..