Low-Resource Khmer --> English/French Speech Translation Task

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INTRODUCTION

We present the low-resource Khmer to English and French speech translation task.

TASK DESCRIPTION

The purpose of this task is to identify effective techniques for speech translation of Khmer into English and French. We expect that the low-resource nature of Khmer will pose a reasonable challenge. To this end, we have curated a dataset from the ECCC corpus, which is an international court dataset consisting of text and speech in Khmer, English, and French. This dataset has a wide range of speakers: witnesses, defendants, judges, clerks or officers, co-prosecutors, experts, defense counsels, civil parties, and interpreters.

Corpora

• Participants should use this dataset for training and evaluation.

Submission Details

• Constrained submission: Using the provided dataset only. Additionally, participants may use pre-trained models such as BART, mBART, mT5, wav2vec 2.0 as applicable.
• Unconstrained submission: Using additional data from other sources. (Please contact organizers before using anything)

CONTACT

For general questions, comments, etc. please email to "wat-organizer -at- googlegroups -dot- com". For questions related to this task contact "prajdabre -at- gmail -dot- com" or "chu -at- i -dot- kyoto-u -dot- ac -dot- jp".

NICT (National Institute of Information and Communications Technology)
Kyoto University
Last Modified: 2021-01-04