mlsanityData to 7 Oct 2026

Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals

arXiv 2402.00385 ↗First posted 1 Feb 2024cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Modern Standard Arabic (MSA) nominals present many morphological and lexical modeling challenges that have not been consistently addressed previously. This paper attempts to define the space of such challenges, and leverage a recently proposed morphological framework to build a comprehensive and extensible model for MSA nominals. Our model design addresses the nominals' intricate morphotactics, as well as their paradigmatic irregularities. Our implementation showcases enhanced accuracy and consistency compared to a commonly used MSA morphological analyzer and generator. We make our models publicly available.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 36 references that are in the map. First posted on arXiv 1 Feb 2024.

Builds on

6 of 36 references.

References · 6

  1. 2023Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigationcited by 22
  2. 2021Automatic Error Type Annotation for Arabiccited by 21
  3. 2021Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialectscited by 14
  4. 2013LDC Arabic Treebanks and Associated Corpora: Data Divisions Manualcited by 11
  5. 2022Camelira: An Arabic Multi-Dialect Morphological Disambiguatorcited by 10
  6. 2022Arabic Word-level Readability Visualization for Assisted Text Simplificationcited by 7

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.