Amazigh Representation in the UNL Framework: Resource Implementation

AbstractThis paper discusses the first steps undertaken to create necessary linguistic resources to incorporate Amazigh language within the Universal Networking Language (UNL) framework for machine translation purpose. This universal interlanguage allows to any source text to be translated into different other related languages with UNL by converting the meaning of the source text into semantic graph. This encoding is considered as a pivot interlanguage used in translation systems. Thus in this work, we focus on presenting morphological, syntactical and lexical mapping stages needed for building an “Amazigh dictionary” according to the UNL framework and the “UNL-Amazigh Dictionary” that are both taking part in enconversion and deconversion processes

Morpho-Lexicon for standard Moroccan Amazigh

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

Diacritical Language OCR Based on Neural Network: Case of Amazigh Language

AbstractDocument paper conversion into electronic format has become indispensable task in many areas, especially for digitizing and translating printed texts. In this context, several approaches have been studied focusing mainly on character recognition for diacritic-free languages. However in this paper, we are interested in the Amazigh language transcribed in Latin, distinguished by its diacritical characters. Thus, we propose to use a system based on neural networks, and to study its behavior against this type of characters

Amazigh Verb Conjugator

Abstract With the aim of preserving the Amazigh heritage from being threatened with disappearance, it seems suitable to provide Amazigh with required resources to confront the stakes of access to the domain of New Information and Communication Technologies (ICT). In this context and in the perspective to build linguistic resources and natural language processing tools for this language, we have undertaken to develop an online conjugating tool that generates the inflectional forms of the Amazigh verbs. This tool is based on novel linguistically motivated morphological rules describing the verbal paradigm for all the Moroccan Amazigh varieties. Furthermore, it is based on the notion of morphological tree structure and uses transformational rules which are attached to the leaf nodes. Each rule may have numerous mutually exclusive clauses, where each part of a clause is a regular expression pattern that is matched against the radical pattern. This tool is an interactive conjugator that provides exhaustive coverage of linguistically accurate conjugation paradigms for over 3584 Armazigh verbs. It has been made simple and easy to use and designed from the ground up to be a highly effective learning aid that stimulates a desire to learn