@inproceedings{pal-etal-2023-findings,
title = "Findings of the {WMT} 2023 Shared Task on Low-Resource {I}ndic Language Translation",
author = "Pal, Santanu and
Pakray, Partha and
Laskar, Sahinur Rahman and
Laitonjam, Lenin and
Khenglawt, Vanlalmuansangi and
Warjri, Sunita and
Dadure, Pankaj Kundan and
Dash, Sandeep Kumar",
editor = "Koehn, Philipp and
Haddow, Barry and
Kocmi, Tom and
Monz, Christof",
booktitle = "Proceedings of the Eighth Conference on Machine Translation",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wmt-1.56",
doi = "10.18653/v1/2023.wmt-1.56",
pages = "682--694",
abstract = "This paper presents the results of the low-resource Indic language translation task organized alongside the Eighth Conference on Machine Translation (WMT) 2023. In this task, participants were asked to build machine translation systems for any of four language pairs, namely, English-Assamese, English-Mizo, English-Khasi, and English-Manipuri. For this task, the IndicNE-Corp1.0 dataset is released, which consists of parallel and monolingual corpora for northeastern Indic languages such as Assamese, Mizo, Khasi, and Manipuri. The evaluation will be carried out using automatic evaluation metrics (BLEU, TER, RIBES, COMET, ChrF) and human evaluation.",
}
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<abstract>This paper presents the results of the low-resource Indic language translation task organized alongside the Eighth Conference on Machine Translation (WMT) 2023. In this task, participants were asked to build machine translation systems for any of four language pairs, namely, English-Assamese, English-Mizo, English-Khasi, and English-Manipuri. For this task, the IndicNE-Corp1.0 dataset is released, which consists of parallel and monolingual corpora for northeastern Indic languages such as Assamese, Mizo, Khasi, and Manipuri. The evaluation will be carried out using automatic evaluation metrics (BLEU, TER, RIBES, COMET, ChrF) and human evaluation.</abstract>
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%0 Conference Proceedings
%T Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation
%A Pal, Santanu
%A Pakray, Partha
%A Laskar, Sahinur Rahman
%A Laitonjam, Lenin
%A Khenglawt, Vanlalmuansangi
%A Warjri, Sunita
%A Dadure, Pankaj Kundan
%A Dash, Sandeep Kumar
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F pal-etal-2023-findings
%X This paper presents the results of the low-resource Indic language translation task organized alongside the Eighth Conference on Machine Translation (WMT) 2023. In this task, participants were asked to build machine translation systems for any of four language pairs, namely, English-Assamese, English-Mizo, English-Khasi, and English-Manipuri. For this task, the IndicNE-Corp1.0 dataset is released, which consists of parallel and monolingual corpora for northeastern Indic languages such as Assamese, Mizo, Khasi, and Manipuri. The evaluation will be carried out using automatic evaluation metrics (BLEU, TER, RIBES, COMET, ChrF) and human evaluation.
%R 10.18653/v1/2023.wmt-1.56
%U https://aclanthology.org/2023.wmt-1.56
%U https://doi.org/10.18653/v1/2023.wmt-1.56
%P 682-694
Markdown (Informal)
[Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation](https://aclanthology.org/2023.wmt-1.56) (Pal et al., WMT 2023)
ACL