AmAMorph: Finite State Morphological Analyzer for Amazighe
Author(s) -
Fatima Zahra Nejme,
Siham Boulaknadel,
Driss Aboutajdine
Publication year - 2016
Publication title -
journal of computing and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 27
eISSN - 1846-3908
pISSN - 1330-1136
DOI - 10.20532/cit.2016.1002478
Subject(s) - computer science , lexicon , lemmatisation , morpheme , spectrum analyzer , natural language processing , artificial intelligence , lemma (botany) , noun , linguistics , ecology , telecommunications , poaceae , biology , philosophy
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. ACM CCS (2012) Classification : Computing methodologies→Artificial intelligence→Natural language processing→Phonology / morphology *To cite this article: F. Z. Nejme et al. , "AmAMorph: Finite State Morphological Analyzer for Amazighe", CIT. Journal of Computing and Information Technology , vol. 24, no. 1, pp. 91-110, 2016.
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