@inproceedings{49e41a68d37d4d43b3afafd01f187e45,
title = "Automatic detection of translation direction",
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.",
author = "Ilia Sominsky and Shuly Wintner",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computational Linguistics (ACL). All rights reserved.; 12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019 ; Conference date: 02-09-2019 Through 04-09-2019",
year = "2019",
doi = "https://doi.org/10.26615/978-954-452-056-4_130",
language = "American English",
series = "International Conference Recent Advances in Natural Language Processing, RANLP",
publisher = "Incoma Ltd",
pages = "1131--1140",
editor = "Galia Angelova and Ruslan Mitkov and Ivelina Nikolova and Irina Temnikova",
booktitle = "International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings",
}