Finite State Morphology for Amazigh Language

Nejme, Fatima Zahra; Boulaknadel, Siham; Aboutajdine, Driss

doi:10.1007/978-3-642-37247-6_16

Cited by 10 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lexical entries have been obtained by gathering a set of lexical entries from various sources [1,2], [4][5][6][7], [23,24]. Actually, we have achieved for the nominal and verbal categories 14 757 lexical entries and 267 266 inflectional forms.…”

Section: Data Modelmentioning

confidence: 99%

See 1 more Smart Citation

Morpho-Lexicon for standard Moroccan Amazigh

Allah¹,

Boulaknadel²

2018

MATEC Web Conf.

Self Cite

View full text Add to dashboard Cite

Standardized resources are key components for the development of applications related to human language technology. Therefore, it is important to adopt it for designing lexical resources, especially for less commonly resourced languages such Amazigh. This language is spoken by many North African communities, including Morocco. Due to historical, geographical and sociolinguistic factors, the Amazigh language is characterized by the proliferation of many intervarieties, which has led to a complex morphology. This latter poses significant challenge to NLP tasks, especially that Amazigh language belongs to the Afro-Asiatic language (Hamito-Semitic) family, known by its non-concatenative morphology based on root and pattern. Face to the scarcity of Amazigh language resources dealing with morphemes encoding, orthographic changes, and morphotactic variations, the elaboration of a standardized lexical resource will certainly ensure a large exchange and exploitation. In this context, this paper describes ongoing work for elaborating a morphological lexicon, based on inflected forms, for the standard Moroccan Amazigh language. .

show abstract

Section: Data Modelmentioning

confidence: 99%

“…Various models of lexical resources have been designed and implemented during the last decade for specific purposes. These models vary between glossaries [1][2][3][4] a and morphological lexicons of Nooj platform [5], Xerox FST tools [6] and UNL framework [7]. Nevertheless, each resource is structured in accordance with its project model.…”

Section: Introductionmentioning

confidence: 99%

Morpho-Lexicon for standard Moroccan Amazigh

Allah¹,

Boulaknadel²

2018

MATEC Web Conf.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study presents the implementation of inflectional and derivational rules that will allow the generation of inflected forms from each entry. [22]), 484 inflectional paradigms for verbs and 8 of them for pronouns [23].…”

Section: Amazighe Lexicon Formalization: Inflectional and Derivationamentioning

confidence: 99%

AmAMorph: Finite State Morphological Analyzer for Amazighe

Nejme

Boulaknadel²,

Aboutajdine

2016

Journal of Computing and Information Technology

Self Cite

View full text Add to dashboard Cite

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

show abstract

“…Therefore, a set of scientific and linguistic research are undertaken to remedy to the current situation. These researches are divided on two categories: (1) computational resources which include the optical character recognition (OCR) (Amrouch et al, 2010;) , Amazighe corpora Ataa Allah, 2011, Outahajala et al, 2014), and (2) NLP tools which have been limited and carried out on light stemmer (Ataa Allah and Boulaknadel, 2010a), search engine (Ataa Allah and Boulaknadel, 2010b), concordancer Ataa Allah, 2010c), verb Conjugator (Ataa Allah andBoulaknadel, 2014) and morphological analyzer (Nejme et al, 2012a;Nejme et al, 2012b;Nejme et al, 2012c;Nejme et al, 2013a;Nejme et al, 2013b;Nejme et al, 2013c).…”

Section: Introductionmentioning

confidence: 99%

“…Given that the morphological analyzer is regarded as the first in a series of text processing components, this paper presents the continuation of our previous efforts which are designed for the purpose of developing morphological analyzer of Amazighe nouns and particles (Nejme et al, 2013a;Nejme et al, 2013b;Nejme et al, 2013c;Nejme et al, 2012a;Nejme et al, 2012b;Nejme et al, 2012c).…”

Section: Introductionmentioning

confidence: 99%

Amazighe Verbal Inflectional Morphology: A New Approach for Analysis and Generation

Nejme¹,

Boulaknadel²,

Aboutajdine³

2015

RCS

Self Cite

View full text Add to dashboard Cite

Amazighe inflectional morphology poses special challenges to Natural Language Processing (NLP) systems. Its rich morphology and the highly complex word formation process of roots and patterns make NLP tools for Amazighe very challenging. In this paper we present an approach for inflectional morphological analysis and generation for Amazighe verbs. The main motivation for this work is to obtain a linguistically motivated tool based on the concept of patterns and allows, from a verbal entries, to predict the inflectional forms. In this context, the present paper sheds light on three axes. The first axis deals with the levels of the new approach development. The second axis demonstrates the implementation, using finite state transducers, of the extracted rules. The fourth axis discusses experimental evaluations conducted to assess the performance of the analyzer. Our analyzer exploits the efficiency and flexibility offered by finite state machines in modeling while using the NooJ Finite State tools.

show abstract

Finite State Morphology for Amazigh Language

Cited by 10 publications

References 4 publications

Morpho-Lexicon for standard Moroccan Amazigh

Morpho-Lexicon for standard Moroccan Amazigh

AmAMorph: Finite State Morphological Analyzer for Amazighe

Amazighe Verbal Inflectional Morphology: A New Approach for Analysis and Generation

Contact Info

Product

Resources

About