AmAMorph: Finite State Morphological Analyzer for Amazighe

Fatima Zahra Nejme, Siham Boulaknadel, Driss Aboutajdine


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.


Amazighe language, Natural Language Processing, NooJ, Lexical Analysis, Inflectional Morphology, Derivational Morphology, Unknown words, Recognition Systems

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