Effect of stemming on text similarity for Arabic language at sentence level

Semantic Text Similarity (STS) has several and important applications in the field of Natural Language Processing (NLP). The Aim of this study is to investigate the effect of stemming on text similarity for Arabic language at sentence level. Several Arabic light and heavy stemmers as well as lemmati...

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Detalles Bibliográficos
Autores principales: Alhawarat, Mohammad O., Abdeljaber, Hikmat, Hilal, Anwer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156998/
https://www.ncbi.nlm.nih.gov/pubmed/34084932
http://dx.doi.org/10.7717/peerj-cs.530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156998/
https://www.ncbi.nlm.nih.gov/pubmed/34084932
http://dx.doi.org/10.7717/peerj-cs.530

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