文章基本信息

标题：AmAMorph: Finite State Morphological Analyzer for Amazighe
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作者：Nejme, Fatima Zahra ; Boulaknadel, Siham ; Aboutajdine, Driss 等
期刊名称：Journal of Computing and Information Technology
印刷版ISSN：1330-1136
电子版ISSN：1846-3908
出版年度：2016
卷号：24
期号：1
页码：91-110
DOI：10.20532/cit.2016.1002478
语种：English
出版社：SRCE - Sveučilišni računski centar
摘要：This paper presents AmAMorph, a morphological analyzer for Amazighe language using a system based on the NooJ linguistic development environment. The paper begins with the development of Amazighe lexicons with large coverage formalization. The built electronic lexicons, named ‘NAmLex’, ‘VAmLex’ and ‘PAmLex’ which stand for ‘Noun Amazighe Lexicon’, ‘Verb Amazighe Lexicon’ and ‘Particles Amazighe Lexicon’, link inflectional, morphological, and syntacticsemantic information to the list of lemmas. Automated inflectional and derivational routines are applied to each lemma producing over inflected forms. To our knowledge,AmAMorph is the first morphological analyzer for Amazighe. It identifies the component morphemes of the forms using large coverage morphological grammars. Along with the description of how the analyzer is implemented, this paper gives an evaluation of the analyzer.
关键词：Amazighe language; Natural Language Processing; NooJ; Lexical Analysis; Inflectional Morphology; Derivational Morphology; Unknown words;...