Cantonese Natural Language Processing in the Transformers Era

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AGU2DYVEG" target="_blank" >RIV/00216208:11320/25:GU2DYVEG - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204927212&partnerID=40&md5=ed5186ce8df0aa1e083b44e26b69cbcb" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204927212&partnerID=40&md5=ed5186ce8df0aa1e083b44e26b69cbcb</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Cantonese Natural Language Processing in the Transformers Era

Popis výsledku v původním jazyce

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 “pretraining 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. © 2024 Association for Computational Linguistics

Název v anglickém jazyce

Cantonese Natural Language Processing in the Transformers Era

Popis výsledku anglicky

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 “pretraining 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. © 2024 Association for Computational Linguistics

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SIGHAN - SIGHAN Workshop Chin. Language Processing, Proc. Workshop

ISBN

979-889176155-1

ISSN

—

e-ISSN

—

Počet stran výsledku

11

Strana od-do

69-79

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

—

Místo konání akce

Bangkok, Thailand

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—