A Survey of Syntactic Parsers of Arabic Language

Zaki, Youssef; Hajjar, Haisam; Hajjar, Mohamad; Bernard, Gilles

doi:10.1145/3010089.3010116

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The use of linear logic as a glue for assembling meanings allows for the proper treatment of a range of phenomena (Andrews, 2010), quantifier scoping, and bound anaphora and their interactions with intentionality (Migdalski, 2010). LFG has also been used for stem processing (Al Ajeeli, 2016), to handle Arabic syntax (Salloum et al, 2016;Zaki et al, 2016;Camilleri et al, 2018), and for managing morphological and syntactic ambiguity (Attia, 2008). LFG has also been used for enhancing Arabic named-entity recognition (Aotaiwe, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Prolog-based approach to Arabic syntax and semantics

Alnajem

Mutawa²,

AlMeer³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

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Section: Introductionmentioning

confidence: 99%

A Prolog-based approach to Arabic syntax and semantics

Alnajem

Mutawa²,

AlMeer³

et al. 2021

JER is an international, peer-reviewed journal that publishes f

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show abstract

“…As with all languages, researchers into the Arabic language and its applications have exerted strenuous efforts to achieve progress in language processing. ese efforts have focused on multiple levels, including morphology [1,2], which studies and characterizes the structure of words, syntax [3,4], the grammatical arrangement of words, and semantics [5,6], which determines a text's exact meaning. Question answering, grammar detection and correction, machine translation, and automatic summarization are types of applications dependent on these level processes.…”

Section: Introductionmentioning

confidence: 99%

An Arabic Grammar Auditor Based on Dependency Grammar

Alothman

Al-Salman

2020

Advances in Human-Computer Interaction

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The Arabic language has many complex grammar rules that may seem complicated to the average user or learner. Automatic grammar checking systems can improve the quality of the text, reduce the costs of the proofreading process, and play a role in grammar teaching. This paper presents an initiative toward developing a novel and comprehensive Arabic auditor that can address vowelized texts. We called the “Arabic Grammar Detector” (AGD-أَجِــدْ). AGD was successfully implemented based on a dependency grammar and decision tree classifier model. Its purpose is to extract patterns of grammatical rules from a projective dependency graph in order to designate the appropriate syntax dependencies of a sentence. The current implementation covers almost all regular Arabic grammar rules for nonvowelized texts as well as partially or fully vowelized texts. AGD was evaluated using the Tashkeela corpus. It can detect more than 94% of grammatical errors and hint at their causes and possible corrections.

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Arabic Corpus Linguistics: Major Progress, but Still a Long Way to Go

Zeroual¹,

Lakhouaja²

2017

Intelligent Natural Language Processing: Trends and Applications

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A Survey of Syntactic Parsers of Arabic Language

Cited by 3 publications

References 9 publications

A Prolog-based approach to Arabic syntax and semantics

A Prolog-based approach to Arabic syntax and semantics

An Arabic Grammar Auditor Based on Dependency Grammar

Arabic Corpus Linguistics: Major Progress, but Still a Long Way to Go

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