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Arabic language processing = from th...

International Conference on Arabic Language Processing (2023 :)

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Arabic language processing = from theory to practice : 8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Arabic language processing/ edited by Boutaina Hdioud, Si Lhoussain Aouragh.
Reminder of title:	from theory to practice : 8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024 : proceedings.
remainder title:	ICALP 2023
other author:	Hdioud, Boutaina.
corporate name:	International Conference on Arabic Language Processing
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 250 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Linguistic Resources for Arabic NLP. -- CAIV: Corpus of Arabic Infinitive Verbs. -- MAOffens: Moroccan Arabic Offensive Language Dataset. -- Exploring the Impact of Stop Words and Particles on Arabic Word Sense Disambiguation. -- The Contribution of Corpus Linguistics and Natural Language Processing Tools in the Development of School Lexicography. -- Opportunities to Use Arabic YouTube Comments in Text Mining and Masked Language Modeling. -- Arabic Dialect Audio Identification Using Wav2Vec2. -- Corpus Analysis of Coronavirus Disease-19 (COVID-19)-Related Loneliness in Twitter. -- Compiling a Bilingual Lexicon Using a Semi-Automatic Approach. -- BOUTEF: Bolstering Our Understanding Through an Elaborated Fake News Corpus. -- Various analysis of Arabic. -- Image Generation from Arabic Text: Comparative Study of Proposed Architectures. -- Enhancing Arabic handwritten recognition system based CNN-BLSTM using Generative Adversarial Networks. -- An Intention-Driven Architecture for Context-Aware Systems. -- A Review of Arabic Fake News Detection Approaches on Social Media. -- Creating a Multilingual Dataset in Arabic and Croatian from Sports Videos through a Data Processing Pipeline Combining ASR and MT. -- Exploring the Impact of Natural Language Processing Technologies on Academic Performance and Student Engagement in Higher Education. -- Deep Facial Expression Recognition Using Xception Model. -- A New Meta-heuristic OptimizationTechnique for Solving Feature Selection and Classification Problems for Arabic Text. -- Detecting Fake News: Exploring Key Features in Multilingual Arabic Dialect Corpus.
Contained By:	Springer Nature eBook
Subject:	Arabic language - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-80438-0
ISBN:	9783031804380

Arabic language processing = from theory to practice : 8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024 : proceedings.. Part II /
Arabic language processingfrom theory to practice : 8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024 : proceedings.Part II /[electronic resource] :ICALP 2023edited by Boutaina Hdioud, Si Lhoussain Aouragh. - Cham :Springer Nature Switzerland :2025. - xv, 250 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,23401865-0937 ;. - Communications in computer and information science ;2340..

Linguistic Resources for Arabic NLP. -- CAIV: Corpus of Arabic Infinitive Verbs. -- MAOffens: Moroccan Arabic Offensive Language Dataset. -- Exploring the Impact of Stop Words and Particles on Arabic Word Sense Disambiguation. -- The Contribution of Corpus Linguistics and Natural Language Processing Tools in the Development of School Lexicography. -- Opportunities to Use Arabic YouTube Comments in Text Mining and Masked Language Modeling. -- Arabic Dialect Audio Identification Using Wav2Vec2. -- Corpus Analysis of Coronavirus Disease-19 (COVID-19)-Related Loneliness in Twitter. -- Compiling a Bilingual Lexicon Using a Semi-Automatic Approach. -- BOUTEF: Bolstering Our Understanding Through an Elaborated Fake News Corpus. -- Various analysis of Arabic. -- Image Generation from Arabic Text: Comparative Study of Proposed Architectures. -- Enhancing Arabic handwritten recognition system based CNN-BLSTM using Generative Adversarial Networks. -- An Intention-Driven Architecture for Context-Aware Systems. -- A Review of Arabic Fake News Detection Approaches on Social Media. -- Creating a Multilingual Dataset in Arabic and Croatian from Sports Videos through a Data Processing Pipeline Combining ASR and MT. -- Exploring the Impact of Natural Language Processing Technologies on Academic Performance and Student Engagement in Higher Education. -- Deep Facial Expression Recognition Using Xception Model. -- A New Meta-heuristic OptimizationTechnique for Solving Feature Selection and Classification Problems for Arabic Text. -- Detecting Fake News: Exploring Key Features in Multilingual Arabic Dialect Corpus.

This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 19-20, 2024. The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions. The papers are organized in the following topical sections: Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA. Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.

ISBN: 9783031804380

Standard No.: 10.1007/978-3-031-80438-0doiSubjects--Topical Terms:

3300536
Arabic language
--Data processing--Congresses.

LC Class. No.: PJ6074.3

Dewey Class. No.: 492.7

Arabic language processing = from theory to practice : 8th International Conference, ICALP 2023, Rabat, Morocco, April 19-20, 2024 : proceedings.. Part II /
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520 $a This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 19-20, 2024. The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions. The papers are organized in the following topical sections: Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA. Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.
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