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2022 EMNLP EMNLP 2022

Overview and Results of MixMT Shared-Task at WMT 2022

Abstract

AbstractIn this paper, we present an overview of the WMT 2022 shared task on code-mixed machine translation (MixMT). In this shared task, we hosted two code-mixed machine translation subtasks in the following settings: (i) monolingual to code-mixed translation and (ii) code-mixed to monolingual translation. In both the subtasks, we received registration and participation from teams across the globe showing an interest and need to immediately address the challenges with machine translation involving code-mixed and low-resource languages.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing
🐣 Hot Topic Early Bird - low-resource language

Authors

Vivek Srivastava, Mayank Singh

Topics

Natural Language Processing > Applications > Machine Translation Natural Language Processing > Resources & Methods > Multilingual NLP Machine Learning > Learning Types > Multi-Lingual Learning

Keywords

machine translation multilingual nlp low-resource language multilingual model code-mixed translation
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