一个完整的,多层的古兰经树数据集,用于古典阿拉伯语处理的混合语法注释
Wadee A Nashir1, Abdulqader M Mohsen2, Asma A Al-Shargabi3,1
1Department of Computer Science, Faculty of Computing and Information Technology, University of Science and Technology, Yemen.
Data in brief
|August 21, 2025
概括
扩展的古兰经树库 (EQTB) 是古典阿拉伯语 (CA) 的新语言资源. 它为NLP任务和语言研究提供了增强的注释和完整的语法层.
科学领域:
- 计算语言学
- 自然语言处理
- 数字人文科学
背景情况:
- 现有的"古兰经树库"有其局限性.
- 需要一个全面的,多层次的古典阿拉伯语语言资源.
研究的目的:
- 描述经过扩展的"古兰经树" (EQTB).
- 为了克服"古兰经树"的局限性.
- 为 CA 提供计算可访问的资源.
主要方法:
- 从已建立的"古兰经"数字资源中获取基础数据.
- 通过算法处理和验证系统地扩展正写表示.
- 使用扩展方案,自动重新注释和手动策划的精细形态注释.
- 使用算法转换,基于深度学习的解析 (混合选区依赖) 和专家验证构建了一个全新的,完整的语法层.
主要成果:
- 开发了包含整个"古兰经"的EQTB (约132,736个令牌).
- 在适应的CoNLL-X格式中的结构化数据 (43列).
- 详细的多种拼写,细粒度的形态 (45个标签) 和完整的混合语法 (140个标签/标签).
- 包括辅助词典和图表.
结论:
- 对于 CA NLP 任务 (解析,形态学,批评) 来说, EQTB 具有显著的重复使用潜力.
- 为NLP提供关键的培训/评估数据.
- 支持语言研究和教学工具和语言技术的开发.
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