تقرير
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
| العنوان: | ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English |
|---|---|
| المؤلفون: | Hamed, Injy, Habash, Nizar, Abdennadher, Slim, Vu, Ngoc Thang |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | 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. Comment: Accepted to the Seventh Arabic Natural Language Processing Workshop (WANLP 2022) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2211.12000 |
| رقم الأكسشن: | edsarx.2211.12000 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |