@inproceedings{bawden-etal-2018-detecting,
title = "Detecting context-dependent sentences in parallel corpora",
author = "Bawden, Rachel and
Lavergne, Thomas and
Rosset, Sophie",
editor = "S{\'e}billot, Pascale and
Claveau, Vincent",
booktitle = "Actes de la Conf{\'e}rence TALN. Volume 1 - Articles longs, articles courts de TALN",
month = "5",
year = "2018",
address = "Rennes, France",
publisher = "ATALA",
url = "https://aclanthology.org/2018.jeptalnrecital-court.22",
pages = "393--400",
abstract = "In this article, we provide several approaches to the automatic identification of parallel sentences that require sentence-external linguistic context to be correctly translated. Our long-term goal is to automatically construct a test set of context-dependent sentences in order to evaluate machine translation models designed to improve the translation of contextual, discursive phenomena. We provide a discussion and critique that show that current approaches do not allow us to achieve our goal, and suggest that for now evaluating individual phenomena is likely the best solution.",
}
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<abstract>In this article, we provide several approaches to the automatic identification of parallel sentences that require sentence-external linguistic context to be correctly translated. Our long-term goal is to automatically construct a test set of context-dependent sentences in order to evaluate machine translation models designed to improve the translation of contextual, discursive phenomena. We provide a discussion and critique that show that current approaches do not allow us to achieve our goal, and suggest that for now evaluating individual phenomena is likely the best solution.</abstract>
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%0 Conference Proceedings
%T Detecting context-dependent sentences in parallel corpora
%A Bawden, Rachel
%A Lavergne, Thomas
%A Rosset, Sophie
%Y Sébillot, Pascale
%Y Claveau, Vincent
%S Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN
%D 2018
%8 May
%I ATALA
%C Rennes, France
%F bawden-etal-2018-detecting
%X In this article, we provide several approaches to the automatic identification of parallel sentences that require sentence-external linguistic context to be correctly translated. Our long-term goal is to automatically construct a test set of context-dependent sentences in order to evaluate machine translation models designed to improve the translation of contextual, discursive phenomena. We provide a discussion and critique that show that current approaches do not allow us to achieve our goal, and suggest that for now evaluating individual phenomena is likely the best solution.
%U https://aclanthology.org/2018.jeptalnrecital-court.22
%P 393-400
Markdown (Informal)
[Detecting context-dependent sentences in parallel corpora](https://aclanthology.org/2018.jeptalnrecital-court.22) (Bawden et al., JEP/TALN/RECITAL 2018)
ACL