A systematic survey of natural language processing for the Greek language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AWQAJMJJA" target="_blank" >RIV/00216208:11320/26:WQAJMJJA - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.patter.2025.101313" target="_blank" >http://dx.doi.org/10.1016/j.patter.2025.101313</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.patter.2025.101313" target="_blank" >10.1016/j.patter.2025.101313</a>
Alternative languages
Result language
angličtina
Original language name
A systematic survey of natural language processing for the Greek language
Original language description
Comprehensive monolingual natural language processing (NLP) surveys are essential for assessing language-specific challenges, resource availability, and research gaps. However, existing surveys often lack standardized methodologies, leading to selection bias and fragmented coverage of NLP tasks and resources. This study introduces a generalizable framework for systematic monolingual NLP surveys. Our approach integrates a structured search protocol to minimize bias, an NLP task taxonomy for classification, and language resource taxonomies to identify potential benchmarks and highlight opportunities for improving resource availability. We apply this framework to Greek NLP (2012–2023), providing an in-depth analysis of its current state, task-specific progress, and resource gaps. The survey results are publicly available and are regularly updated to provide an evergreen resource. This systematic survey of Greek NLP serves as a case study, demonstrating the effectiveness of our framework and its potential for broader application to other not-so-well-resourced languages as regards NLP. © 2025 The Authors
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Patterns
ISSN
2666-3899
e-ISSN
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Volume of the periodical
2025
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
101313
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105011258794