Towards Amazigh Word Embedding: Corpus Creation and Word2Vec Models Evaluations

Distributed representations of words in a vector space help learning algorithms to model semantic notions of word similarity and distances in sentences. Most of the existing researches have been done on the Latin, Arabic, and other language, while the Amazigh language is ignored. In this paper, we t...

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Veröffentlicht in:	Revue d'Intelligence Artificielle 2023-06, Vol.37 (3), p.753-759
Hauptverfasser:	Faouzi, Hassan, El-Badaoui, Maria, Boutalline, Mohammed, Tannouche, Adil, Ouanan, Hamid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cultural heritage Language Linguistics Machine learning Natural language processing Neural networks Performance evaluation Semantics Sentences Sentiment analysis Text analysis Vector spaces Words (language)
Online-Zugang:	Volltext
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