DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations
Ekaterina Lapshinova-Koltunski, Maja Popović, Maarit Koponen
Abstract
This project aimed to design a corpus of parallel human translations (HTs) of the same source texts by professionals and students. The resulting corpus consists of English news and reviews source texts, their translations into Russian and Croatian, and translations of the reviews into Finnish. The corpus will be valuable for both studying variation in translation and evaluating machine translation (MT) systems.- Anthology ID:
- 2022.eamt-1.58
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 337–338
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.58
- DOI:
- Bibkey:
- Cite (ACL):
- Ekaterina Lapshinova-Koltunski, Maja Popović, and Maarit Koponen. 2022. DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 337–338, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations (Lapshinova-Koltunski et al., EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.58.pdf
Export citation
@inproceedings{lapshinova-koltunski-etal-2022-dihutra,
title = "{D}i{H}u{T}ra: a Parallel Corpus to Analyse Differences between Human Translations",
author = "Lapshinova-Koltunski, Ekaterina and
Popovi{\'c}, Maja and
Koponen, Maarit",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.58",
pages = "337--338",
abstract = "This project aimed to design a corpus of parallel human translations (HTs) of the same source texts by professionals and students. The resulting corpus consists of English news and reviews source texts, their translations into Russian and Croatian, and translations of the reviews into Finnish. The corpus will be valuable for both studying variation in translation and evaluating machine translation (MT) systems.",
}
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%0 Conference Proceedings %T DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations %A Lapshinova-Koltunski, Ekaterina %A Popović, Maja %A Koponen, Maarit %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F lapshinova-koltunski-etal-2022-dihutra %X This project aimed to design a corpus of parallel human translations (HTs) of the same source texts by professionals and students. The resulting corpus consists of English news and reviews source texts, their translations into Russian and Croatian, and translations of the reviews into Finnish. The corpus will be valuable for both studying variation in translation and evaluating machine translation (MT) systems. %U https://aclanthology.org/2022.eamt-1.58 %P 337-338
Markdown (Informal)
[DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations](https://aclanthology.org/2022.eamt-1.58) (Lapshinova-Koltunski et al., EAMT 2022)
- DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations (Lapshinova-Koltunski et al., EAMT 2022)
ACL
- Ekaterina Lapshinova-Koltunski, Maja Popović, and Maarit Koponen. 2022. DiHuTra: a Parallel Corpus to Analyse Differences between Human Translations. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 337–338, Ghent, Belgium. European Association for Machine Translation.