mlsanityData to 14 Oct 2026

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

arXiv 2211.12000 ↗First posted 22 Nov 2022cs.CLcited by 13

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Abstract (arXiv)

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.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 26 of its 73 references that are in the map. First posted on arXiv 22 Nov 2022.

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26 of 73 references.

References · 26

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14 more
  1. 2022End-to-End Speech Translation for Code Switched Speechcited by 26
  2. 2021Can You Traducir This? Machine Translation for Code-Switched Inputcited by 21
  3. 2016Challenges of Computational Processing of Code-Switchingcited by 20
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  13. 2021Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switchingcited by 4
  14. 2021IMS' Systems for the IWSLT 2021 Low-Resource Speech Translation Taskcited by 3

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Citing papers per year: 2023: 3; 2024: 3; 2025: 6; 2026: 1.

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