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Journal of computing and information technology, Vol.24 No.1 Ožujak 2016.

Izvorni znanstveni članak
https://doi.org/10.20532/cit.2016.1002478

AmAMorph: Finite State Morphological Analyzer for Amazighe

Fatima Zahra Nejme   ORCID icon orcid.org/0000-0002-1572-8673 ; LRIT, associated unit to the CNRST-URAC n ◦ 29, Mohammed V University, Faculty of Science, Rabat, Morocco
Siham Boulaknadel ; Royal Institute of Amazigh Culture, Rabat, Morocco
Driss Aboutajdine ; Mohammed V University Faculty of Science, Rabat, Morocco

Puni tekst: engleski, pdf (1 MB) str. 91-110 preuzimanja: 192* citiraj
APA
Nejme, F.Z., Boulaknadel, S., Aboutajdine, D. (2016). AmAMorph: Finite State Morphological Analyzer for Amazighe. Journal of computing and information technology, 24(1). doi:10.20532/cit.2016.1002478

Sažetak
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.

Ključne riječi
Amazighe language; Natural Language Processing; NooJ; Lexical Analysis; Inflectional Morphology; Derivational Morphology; Unknown words; Recognition Systems

Hrčak ID: 155090

URI
https://hrcak.srce.hr/155090

Posjeta: 265 *