36.1518, FYI: New IEEE publication (DOI: 10.1109/ACCESS.2025.3563414): Beyond the Determiner “Al-”: Expanding the Determiner Class in Arabic and Eliminating Lexical Ambiguities through Grammars

[The LINGUIST List]

LINGUIST List: Vol-36-1518. Wed May 14 2025. ISSN: 1069 - 4875.

Subject: 36.1518, FYI: New IEEE publication (DOI: 10.1109/ACCESS.2025.3563414): Beyond the Determiner “Al-”: Expanding the Determiner Class in Arabic and Eliminating Lexical Ambiguities through Grammars

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================================================================


Date: 13-May-2025
From: Alexis Neme [alexis.neme at gmail.com]
Subject: New IEEE publication (DOI: 10.1109/ACCESS.2025.3563414): Beyond the Determiner “Al-”: Expanding the Determiner Class in Arabic and Eliminating Lexical Ambiguities through Grammars


Arabic nouns can be marked for definiteness or indefiniteness. The
definite article is the prefix “Al-,” which confines the determiner
class to a single element “Al-.” This topic is generally discussed
under noun inflections, such as Gender, Number, Definiteness, and Case
(GNDC), in grammar textbooks. The primary aim of this paper is to
expand the Arabic determiner class (DET) by incorporating additional
lexical items and providing a detailed description of their syntactic
context within noun phrases (NPs). In traditional grammar, these
lexical items are typically classified as noun adjectives and, at
best, are referred to as noun specifiers since they modify the head
noun. However, these “nouns” exhibit limited inflection compared to
regular adjectives and occupy a specific position within the NP
sequence. Additionally, the modified head nouns are constrained in
their inflectional attributes, Number, and Definiteness. Our approach
is qualitative and guided by morpho-syntactic considerations. We
conduct an in-depth analysis of the grammatical features of ten
lexical items, focusing particularly on the dependencies between the
determiner and the following noun. This analysis also addresses some
semantic properties. By focusing on context-sensitive grammatical
rules, the study shows how these methods can enhance precision in
parsing and reduce ambiguity in NLP tasks, highlighting the potential
for developing more refined grammar for Arabic. This work is a
prototype for comprehensive studies in linguistics and NLP.

Linguistic Field(s): Applied Linguistics
                     Computational Linguistics
                     Morphology
                     Syntax

Subject Language(s): Arabic (ara)

Language Family(ies): Semitic



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