Cantonese natural language processing in the transformers era: a survey and current challenges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A6473VWMP" target="_blank" >RIV/00216208:11320/25:6473VWMP - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/26:ZE8S8JJ4
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195564852&doi=10.1007%2fs10579-024-09744-w&partnerID=40&md5=6f20ec8c7b12c07ce19354001c9f794c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195564852&doi=10.1007%2fs10579-024-09744-w&partnerID=40&md5=6f20ec8c7b12c07ce19354001c9f794c</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10579-024-09744-w" target="_blank" >10.1007/s10579-024-09744-w</a>
Alternative languages
Result language
angličtina
Original language name
Cantonese natural language processing in the transformers era: a survey and current challenges
Original language description
Despite being spoken by a large population of speakers worldwide, Cantonese is under-resourced in terms of the data scale and diversity compared to other major languages. This limitation has excluded it from the current “pre-training and fine-tuning” paradigm that is dominated by Transformer architectures. In this paper, we provide a comprehensive review on the existing resources and methodologies for Cantonese Natural Language Processing, covering the recent progress in language understanding, text generation and development of language models. We finally discuss two aspects of the Cantonese language that could make it potentially challenging even for state-of-the-art architectures: colloquialism and multilinguality. © The Author(s) 2024.
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Language Resources and Evaluation
ISSN
1574-020X
e-ISSN
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Volume of the periodical
2024
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
1-27
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85195564852