Related papers: ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic

ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English

URL: http://arxiv.org/abs/2211.12000v1
Date: Tue, 22 Nov 2022 04:37:14 GMT
Title: ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
Authors: Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu
Abstract summary: ArzEn-ST is a code-switched Egyptian Arabic - English Speech Translation Corpus. This corpus is an extension of the ArzEn speech corpus, which was collected through informal interviews with bilingual speakers.
Score: 32.885722714728765
License: http://creativecommons.org/licenses/by/4.0/
Abstract: We present our work on collecting ArzEn-ST, a code-switched Egyptian Arabic - English Speech Translation Corpus. This corpus is an extension of the ArzEn speech corpus, which was collected through informal interviews with bilingual speakers. In this work, we collect translations in both directions, monolingual Egyptian Arabic and monolingual English, forming a three-way speech translation corpus. We make the translation guidelines and corpus publicly available. We also report results for baseline systems for machine translation and speech translation tasks. We believe this is a valuable resource that can motivate and facilitate further research studying the code-switching phenomenon from a linguistic perspective and can be used to train and evaluate NLP systems.

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