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arXiv 2609.17235cs.CL

AraMIP:将MIPVU扩展至阿拉伯语隐喻识别

AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic

  • Technical University of Berlin(柏林工业大学)
  • SOAS University of London(伦敦大学亚非学院)
  • Bielefeld University(比勒费尔德大学)
  • University of Groningen(格罗宁根大学)
  • German Research Center for Artificial Intelligence (DFKI)(德国人工智能研究中心)

机构由 AI 辅助整理,请以论文原文为准。

Mandar Marathe, Manar Ali, Sara Nabhani, Raia Abu Ahmad, Ibrahim Baroud, Omar Momen

AI总结:

针对阿拉伯语隐喻识别资源匮乏问题,提出AraMIP指南,基于MIPVU框架适配阿拉伯语特性,区分三类比喻语言,标注300句试点数据,揭示形态复杂性等挑战,为标准化资源奠定基础。

AI中文摘要:

隐喻研究因其与语言创造力、语言使用、认知过程及相关领域的关联而日益受到关注。尽管在英语和其他语言的隐喻识别与标注方面已投入大量努力,但阿拉伯语在该领域仍资源不足。在本工作中,我们提出了阿拉伯语隐喻识别程序(AraMIP),这是一项新颖的阿拉伯语隐喻标注指南。AraMIP基于广泛使用的隐喻识别程序(MIPVU)框架,并纳入了针对阿拉伯语语言特性的适应性调整。我们区分了阿拉伯语比喻性语言的三大主要类型:Isti'ara(隐喻)、kinaya(转喻/间接表达)和tashbih(明喻),并标注了一个包含300个句子(5277个单词)的试点数据集。我们的分析揭示了阿拉伯语特有的关键挑战,包括形态复杂性、词典义项排序的不一致性,以及标注者缺乏标准化语境材料的问题。本工作为标准化阿拉伯语比喻实例迈出了第一步,并促进了更大规模标注资源的开发,从而支持未来阿拉伯语比喻性语言的研究。

英文摘要:

Metaphor research has gained increasing attention due to its relevance to linguistic creativity, language use, cognitive processes, and related areas. While many efforts have been devoted to metaphor identification and annotation in English and other languages, Arabic remains under-resourced in this area. In this work, we propose the Arabic Metaphor Identification Procedure (AraMIP), a novel guideline for Arabic metaphor annotation. AraMIP builds on the widely used Metaphor Identification Procedure Vrije Universiteit (MIPVU) framework, incorporating adaptations that accounts for the language-specific properties of Arabic. We distinguish three major types of Arabic figurative language: Isti'ara (metaphor), kinaya (metonymy/indirect expression), and tashbih (simile), and annotate a pilot dataset of 300 sentences (5277 words). Our analysis reveals key challenges specific to Arabic, including morphological complexity, inconsistencies in dictionary sense ordering, and the absence of standardized contextual materials for annotators. This work contributes a first step toward standardized Arabic figurative instances and facilitates the development of larger annotated resources, thereby supporting future research on figurative language in Arabic.

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