Can You Traducir This? Machine Translation for Code-Switched Input - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Communication Dans Un Congrès Année : 2021

Can You Traducir This? Machine Translation for Code-Switched Input

Jitao Xu
  • Fonction : Auteur
  • PersonId : 184998
  • IdHAL : xujitao
François Yvon

Résumé

Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or social contexts, which raises challenging problems for natural language processing tools. We focus here on Machine Translation (MT) of CSW texts, where we aim to simultaneously disentangle and translate the two mixed languages. Due to the lack of actual translated CSW data, we generate artificial training data from regular parallel texts. Experiments show this training strategy yields MT systems that surpass multilingual systems for code-switched texts. These results are confirmed in an alternative task aimed at providing contextual translations for a L2 writing assistant.
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Dates et versions

hal-03218889 , version 1 (10-05-2021)

Identifiants

Citer

Jitao Xu, François Yvon. Can You Traducir This? Machine Translation for Code-Switched Input. Workshop on Computational Approaches to Linguistic Code Switching, Association for Computational Linguistics, Jun 2021, Online, United States. ⟨hal-03218889⟩
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