Papers by Reham Marzouk

2 papers
Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic (2024.lrec-main)

Copied to clipboard

Challenge: Camel Morph MSA is the largest open-source Modern Standard Arabic morphological analyzer and generator.
Approach: They present Camel Morph MSA, the largest open-source Arabic morphological analyzer and generator.
Outcome: The analysis can produce 1.45B analyses and 535M unique diacritizations, almost an order of magnitude larger than SAMA on a 10B word corpus.
Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals (2024.findings-eacl)

Copied to clipboard

Challenge: Modern Standard Arabic (MSA) nominals present many morphological and lexical modeling challenges that have not been consistently addressed before.
Approach: They propose to use a morphological framework to model Arabic nominals using a proposed morphology framework.
Outcome: The proposed model improves accuracy and consistency compared to a commonly used morphological analyzer and generator.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations