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English(EN) A Corpus-Aligned Uthmani-to-Standard Quranic Word Mapping and a Deterministic Recitation Validator

古兰经文本映射和诵读验证器发布

研究人员开发了一种新的方法,用于在奥斯曼体和标准阿拉伯语拼写形式之间映射古兰经文本,解决了由Unicode字符U+0670引起的差异。这项工作包括一个2,290对单词的映射和一个七步标准化流程,实现了90.9%的经文对齐。在此基础上,创建了一个确定性的、不依赖LLM的验证器,用于评估古兰经诵读的准确性,在测试套件上达到了98.4%,并在所有测试的阿拉伯语ASR转录本中正确识别了经文。 AI

影响 这项研究为更准确地处理和验证古兰经文本提供了工具,可能改进阿拉伯语的NLP应用和ASR系统。

排序理由 该集群包含一篇学术论文,详细介绍了一种新的语料库对齐映射和确定性验证器。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CL 阅读 →

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古兰经文本映射和诵读验证器发布

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该集群包含一篇学术论文,详细介绍了一种新的语料库对齐映射和确定性验证器。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yahya Mohamed Elnawasany ·

    一个与语料库对齐的Uthmani到标准古兰经单词映射及确定性诵读验证器

    arXiv:2609.14967v1 Announce Type: new Abstract: Quranic text is distributed in two orthographic forms that are byte-level distinct: the Uthmani script used in every printed mushaf, and the Standard (Imla'i) Arabic form that every mainstream Arabic NLP tool is built for. The gap i…