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A Comparative Study of the Lexical Ambiguity of Arabic, English, and French in Natural Language Processing

Bibliographic Data

ID12634646
AuthorsBahia Zemni (0000-0002-6238-7509, Princess Nourah bint Abdulrahman University, corresponding author), Mimouna Zitouni (0000-0002-4167-3602, Princess Nourah bint Abdulrahman University), Farouk Bouhadiba (0000-0002-6767-8073, Princess Nourah bint Abdulrahman University), Mashael Almutairi (0000-0002-1545-246X, Princess Nourah bint Abdulrahman University)
Year2024
Volume24
Issue1
Pages203-212
Publication date2024-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Intercultural Communication (JOURNAL)
Journal identifiersISSN: 1404-1634 • E-ISSN: 1404-1634
PublisherInternational Collaboration for Research and Publications (PUBLISHER)
DOI10.36923/jicc.v24i1.171
OpenAlexW4392472550
LanguageEN
Citations received1
References cited21

Ambiguity in some syntactic structures of the same language has always posed problems to the human translator and to machine translation. These problems become more complex for the Machine Translation of genetically unrelated languages such as Arabic, English and French. Arabic Lexical ambiguity in Natural Language Processing (NLP) also poses problems when the semantic fields of Arabic words differ from those of English for instance. This often occurs when two or more words from Arabic equate to a single word in English. Semantic gaps between the two languages are also a source of ambiguity in Natural Language Processing. We shall deal with some cases of ambiguity in machine translation from Arabic to English and French and vice versa. The questions addressed in this paper relate to segmentation, determination / non-determination, coordination and the issue of the word as a meaningful and functional unit. Some aspects of the segmentation of constituents into grammatical categories and their comparison with structures of Arabic English and French are addressed in this paper

Ambiguity · Arabic · English language · Linguistics · Machine translation · Natural language processing · Translation (biology · Translation studies · Chemistry · Computer Science · Natural Language Processing Techniques · Philosophy · Text Readability and Simplification · Translation Studies and Practices

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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