@inproceedings{tamchyna-barancikova-2016-manual,
title = "Manual and Automatic Paraphrases for {MT} Evaluation",
author = "Tamchyna, Ale{\v{s}} and
Baran{\v{c}}{\'\i}kov{\'a}, Petra",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1563",
pages = "3543--3548",
abstract = "Paraphrasing of reference translations has been shown to improve the correlation with human judgements in automatic evaluation of machine translation (MT) outputs. In this work, we present a new dataset for evaluating English-Czech translation based on automatic paraphrases. We compare this dataset with an existing set of manually created paraphrases and find that even automatic paraphrases can improve MT evaluation. We have also propose and evaluate several criteria for selecting suitable reference translations from a larger set.",
}
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<abstract>Paraphrasing of reference translations has been shown to improve the correlation with human judgements in automatic evaluation of machine translation (MT) outputs. In this work, we present a new dataset for evaluating English-Czech translation based on automatic paraphrases. We compare this dataset with an existing set of manually created paraphrases and find that even automatic paraphrases can improve MT evaluation. We have also propose and evaluate several criteria for selecting suitable reference translations from a larger set.</abstract>
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%0 Conference Proceedings
%T Manual and Automatic Paraphrases for MT Evaluation
%A Tamchyna, Aleš
%A Barančíková, Petra
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F tamchyna-barancikova-2016-manual
%X Paraphrasing of reference translations has been shown to improve the correlation with human judgements in automatic evaluation of machine translation (MT) outputs. In this work, we present a new dataset for evaluating English-Czech translation based on automatic paraphrases. We compare this dataset with an existing set of manually created paraphrases and find that even automatic paraphrases can improve MT evaluation. We have also propose and evaluate several criteria for selecting suitable reference translations from a larger set.
%U https://aclanthology.org/L16-1563
%P 3543-3548
Markdown (Informal)
[Manual and Automatic Paraphrases for MT Evaluation](https://aclanthology.org/L16-1563) (Tamchyna & Barančíková, LREC 2016)
ACL
- Aleš Tamchyna and Petra Barančíková. 2016. Manual and Automatic Paraphrases for MT Evaluation. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3543–3548, Portorož, Slovenia. European Language Resources Association (ELRA).