DEAST: A dataset for English-Arabic scientific translation and vice versa
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces the first Arabic-English dataset for scientific text, addressing a critical resource gap for machine translation in specialized domains.
Area Of Science
- Natural Language Processing
- Computational Linguistics
- Scientific Translation
Background
- Scientific text volume is rapidly increasing.
- Domain-specific translation requires specialized expertise.
- A significant lack of high-quality Arabic-English resources hinders scientific machine translation.
Purpose Of The Study
- To introduce a novel Arabic-English dataset for scientific text.
- To address the resource scarcity in Arabic scientific machine translation.
- To facilitate advancements in natural language processing for specialized domains.
Main Methods
- Collected Arabic-English scientific text data from thesis titles across various sources.
- Curated a dataset specifically for scientific text translation.
- Focused on titles to create a foundational resource.
Main Results
- Developed the first available Arabic-English dataset for scientific text.
- The dataset comprises titles from academic theses.
- This resource aims to support research in machine translation.
Conclusions
- The introduced dataset is a crucial step towards improving Arabic scientific text translation.
- It provides a much-needed resource for natural language processing research.
- Further development of specialized datasets is essential for domain-specific translation.
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