The Quest for NLP Applications and Tools: The Case of Standard Arabic and the Dialects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441744" target="_blank" >RIV/00216208:11320/21:10441744 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/IALP54817.2021.9675225" target="_blank" >https://doi.org/10.1109/IALP54817.2021.9675225</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IALP54817.2021.9675225" target="_blank" >10.1109/IALP54817.2021.9675225</a>
Alternative languages
Result language
angličtina
Original language name
The Quest for NLP Applications and Tools: The Case of Standard Arabic and the Dialects
Original language description
The rapid advances of natural language processing (NLP) research bring about applications and tools that serve automating Arabic at different linguistic levels. However, there is a focus on the modern standard Arabic (MSA) more than the dialects which are used heavily in day-to-day communication and require special handling. This paper introduces research efforts in Arabic NLP with emphasis on tools, applications, and resources related to core NLP areas. Some research and scholarly work come from researchers working on extended projects to compute Arabic. The findings demonstrated that research on Arabic NLP can be characterized by emphasis on morphological analysis and processing of MSA especially tokenization and tagging. Recently there has been a growing interest in processing and identifying Arabic dialects. The proposed solutions were adapted from other solutions used for MSA or designed mainly for certain dialects. Also, advances in developing transformers were applied to Arabic NLP in limited research. It appeared that ambiguity is still a big challenge to overcome and there is a need to innovate applications and tools for Arabic MSA and the dialects in parallel.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 International Conference on Asian Language Processing, IALP 2021
ISBN
978-1-66548-311-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
222-228
Publisher name
IEEE Conference Publishing Services
Place of publication
Piscataway
Event location
Singapur
Event date
Dec 11, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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