Multi-Level Analysis and Annotation of Arabic Corpora for Text-to-Sign Language MT
Abdelaziz Lakhfif, Mohammed T. Laskri, Eric Atwell
TL;DR
This paper discusses a semi-automatic annotation tool for analyzing Modern Standard Arabic at multiple linguistic levels, aiding in the development of text-to-sign language translation systems.
Contribution
It introduces a novel semi-automatic annotation tool for Arabic corpora covering morphological, syntactic, and semantic analysis.
Findings
Enhanced annotation accuracy for Arabic texts
Facilitated development of text-to-sign language translation
Improved linguistic resource quality for Arabic NLP
Abstract
In this paper, we present an ongoing effort in lexical semantic analysis and annotation of Modern Standard Arabic (MSA) text, a semi automatic annotation tool concerned with the morphologic, syntactic, and semantic levels of description.
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Taxonomy
TopicsNatural Language Processing Techniques · Speech and dialogue systems · linguistics and terminology studies