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2023 EMNLP EMNLP 2023

Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation

Abstract

AbstractThis 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.

🐣 Hot Topic Early Bird - indic language

Authors

Santanu Pal, Partha Pakray, Sahinur Rahman Laskar, Lenin Laitonjam, Vanlalmuansangi Khenglawt, Sunita Warjri, Pankaj Kundan Dadure, Sandeep Kumar Dash

Topics

Natural Language Processing > Applications > Machine Translation Natural Language Processing > Resources & Methods > Multilingual NLP

Keywords

machine translation neural machine translation parallel corpus low-resource language monolingual corpus indic language
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