System of Analysis and Generation for Amazigh Nominal Morphology based on Xerox’s finite-state transducer | Zendy

Rachid Ammari | Zendy; Lahbib Zenkouar | Zendy; Mohamed Outahajala | Zendy

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System of Analysis and Generation for Amazigh Nominal Morphology based on Xerox’s finite-state transducer

Author(s) -

Rachid Ammari,

Lahbib Zenkouar,

Mohamed Outahajala

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.10.112

Subject(s) - computer science , context (archaeology) , finite state machine , lexicon , finite state , state (computer science) , set (abstract data type) , cover (algebra) , artificial intelligence , generator (circuit theory) , natural language processing , algorithm , programming language , mechanical engineering , machine learning , paleontology , power (physics) , physics , quantum mechanics , markov chain , engineering , biology

This paper presents the first system of analysis and generation for amazigh nominal morphology using a system based on xerox’s finite-state transducer platform. In this context our system is based on two main components: a lexicon including 2363 attested nouns, and a set of rules covering the morphotactic and morphological phenomena observed in standard amazigh texts. The choice of finite-state technology makes our system bidirectional (analyzer / generator) and able to cover all variations of amazigh noun (gender, number, state) and to realize an important accuracy (system recognition) which reaches about 77%. This system is an added value for the implementation for other applications like spellchecking, machine translation, and computer aided language learning.

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