PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2024-08-28 DOI:10.1007/s10579-024-09763-7
Najet Hadj Mohamed, Cherifa Ben Khelil, Agata Savary, Iskander Keskes, Jean Yves Antoine, Lamia Belguith Hadrich
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Abstract

In this paper we present PARSEME-AR, the first openly available Arabic corpus manually annotated for Verbal Multiword Expressions (VMWEs). The annotation process is carried out based on guidelines put forward by PARSEME, a multilingual project for more than 26 languages. The corpus contains 4749 VMWEs in about 7500 sentences taken from the Prague Arabic Dependency Treebank. The results notably show a high degree of discontinuity in Arabic VMWEs in comparison to other languages in the PARSEME suite. We also propose analyses of interesting and challenging phenomena encountered during the annotation process. Moreover, we offer the first benchmark for the VMWE identification task in Arabic, by training two state-of-the-art systems, on our Arabic data.

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PARSEME-AR:使用 PARSEME 注释指南的阿拉伯语多词表达参考语料库
在本文中,我们介绍了 PARSEME-AR,这是第一个公开可用的阿拉伯语语料库,人工注释了口头多词表达 (VMWE)。注释过程是根据 PARSEME 提出的指导原则进行的,PARSEME 是一个多语言项目,涉及超过 26 种语言。该语料库包含来自布拉格阿拉伯语依存关系树库的约 7500 个句子中的 4749 个 VMWE。研究结果表明,与 PARSEME 套件中的其他语言相比,阿拉伯语 VMWE 的不连续性程度很高。我们还对注释过程中遇到的有趣和具有挑战性的现象进行了分析。此外,通过在我们的阿拉伯语数据上训练两个最先进的系统,我们为阿拉伯语 VMWE 识别任务提供了第一个基准。
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来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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