Amazigh verb in the Universal Networking Language

Taghablout, Imane; Allah, Fadoua Ataa; Marraki, Mohamed El

doi:10.1109/aiccsa.2015.7507205

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…It focuses on morphological analysis and semantic information of Amazigh verbs, with the aim to incorporate them into the Amazigh UNL dictionary. Translation Challenges and Universal Networking Language investigated by Baljeet Kaur Dhindsa et al [11].Universal Networking Language (UNL) based on Interlingua approach used especially for translation among multiple languages because it requires knowledge of UNL and of the language which user wants UNL to support. It has the advantage of saving time and money as it is faster and has high throughput as compared to that by human translator.…”

Section: Literarure Surveymentioning

confidence: 99%

UNL Enconversion for Tamil Sentence

Laxmi¹

2019

IJRASET

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Natural language processing (NLP) aims to design and build software that will analyze, understand and generate languages that humans use naturally. Machine translation is a very important application in natural language processing. Universal Networking Language (UNL) is an intermediator which exchanges the knowledge from a natural language to allow the access of its content through different languages. In this proposed work, the development of an enconverter (analyzer) process is done in order to overcome language barriers from Tamil sentence to UNL format. The grammar teaching tools like character analyzer for analyzing character, morphological analyzer and verb conjugator for the word level analysis, Parts of speech (POS) tagger, chunker and dependency parser for the sentence level analysis will be developed using machine learning based technology. The purpose is to enconvert the Tamil sentence to UNL format so that it can be easily translated to any other targeted natural languages.

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Section: Literarure Surveymentioning

confidence: 99%

UNL Enconversion for Tamil Sentence

Laxmi¹

2019

IJRASET

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“…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%

“…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.

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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. .

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Tashlhiyt Berber DP Assembled

Makhad

2024

Springer Handbooks in Languages and Linguistics

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Amazigh verb in the Universal Networking Language

Cited by 3 publications

References 2 publications

UNL Enconversion for Tamil Sentence

UNL Enconversion for Tamil Sentence

Morpho-Lexicon for standard Moroccan Amazigh

Tashlhiyt Berber DP Assembled

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