NoorGhateh: A Benchmark Dataset for Training and Evaluating Arabic Morphological Analysis Systems

This dataset provides a linguistically and morphologically annotated sample of 313 Arabic words drawn from a larger corpus of 223,690 words compiled from Sharaye al-Islam, a classical Arabic jurisprudential text. Each token includes segmentation, lemma, part-of-speech, and affix-level annotations th...

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Detalhes bibliográficos

Principais autores:	Behrouz Minaei-Bidgoli, Huda AlShuhayeb
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Ubiquity Press 2026-02-01
coleção:	Journal of Open Humanities Data
Assuntos:	arabic morphology morphological analysis benchmark dataset word segmentation natural language processing deep learning
Acesso em linha:	https://account.openhumanitiesdata.metajnl.com/index.php/up-j-johd/article/view/409
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