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Constructing a corpus-informed list of Arabic formulaic sequences (ArFSs) for language pedagogy and technology
International Journal of Corpus Linguistics ( IF 0.919 ) Pub Date : 2019-08-05 , DOI: 10.1075/ijcl.16088.alg
Ayman Alghamdi 1 , Eric Steven Atwell 2
Affiliation  

Abstract This study aims to construct a corpus-informed list of Arabic Formulaic Sequences (ArFSs) for use in language pedagogy (LP) and Natural Language Processing (NLP) applications. A hybrid mixed methods model was adopted for extracting ArFSs from a corpus, that combined automatic and manual extracting methods, based on well-established quantitative and qualitative criteria that are relevant from the perspective of LP and NLP. The pedagogical implications of this list are examined to facilitate the inclusion of ArFSs in the process of learning and teaching Arabic, particularly for non-native speakers. The computational implications of the ArFSs list are related to the key role of the ArFSs as a novel language resource in the improvement of various Arabic NLP tasks.

中文翻译:

为语言教学法和技术构建基于语料库的阿拉伯语公式序列 (ArFS) 列表

摘要 本研究旨在构建一个基于语料库的阿拉伯公式序列 (ArFS) 列表,用于语言教学法 (LP) 和自然语言处理 (NLP) 应用。采用混合混合方法模型从语料库中提取 ArFS,该模型结合了自动和手动提取方法,基于从 LP 和 NLP 的角度相关的完善的定量和定性标准。该列表的教学意义经过审查,以促进将 ArFS 纳入阿拉伯语学习和教学过程中,特别是对于非母语人士。ArFSs 列表的计算意义与 ArFSs 作为一种新的语言资源在改进各种阿拉伯语 NLP 任务中的关键作用有关。
更新日期:2019-08-05
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