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Survey on Thai NLP Language Resources and Tools

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Survey on Thai NLP Language Resources and Tools. / Arreerard, Ratchakrit; Mander, Stephen; Piao, Scott.

Language Resources and Evaluation Conference LREC 2022 Proceedings. Paris : European Language Resources Association (ELRA), 2022. p. 6495-6505.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Arreerard, R, Mander, S & Piao, S 2022, Survey on Thai NLP Language Resources and Tools. in Language Resources and Evaluation Conference LREC 2022 Proceedings. European Language Resources Association (ELRA), Paris, pp. 6495-6505, The 13th Edition of Language Resources and Evaluation Conference, Marseille, France, 21/06/22. <http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.697.pdf>

APA

Arreerard, R., Mander, S., & Piao, S. (2022). Survey on Thai NLP Language Resources and Tools. In Language Resources and Evaluation Conference LREC 2022 Proceedings (pp. 6495-6505). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.697.pdf

Vancouver

Arreerard R, Mander S, Piao S. Survey on Thai NLP Language Resources and Tools. In Language Resources and Evaluation Conference LREC 2022 Proceedings. Paris: European Language Resources Association (ELRA). 2022. p. 6495-6505

Author

Arreerard, Ratchakrit ; Mander, Stephen ; Piao, Scott. / Survey on Thai NLP Language Resources and Tools. Language Resources and Evaluation Conference LREC 2022 Proceedings. Paris : European Language Resources Association (ELRA), 2022. pp. 6495-6505

Bibtex

@inproceedings{98cffa074a0e4a4a9e11d1b162d5bff2,
title = "Survey on Thai NLP Language Resources and Tools",
abstract = "Over the past decades, Natural Language Processing (NLP) research has been expanding to cover more languages. Recently particularly, NLP community has paid increasing attention to under-resourced languages. However, there are still many languages for which NLP research is limited in terms of both language resources and software tools. Thai language is one of the under-resourced languages in the NLP domain, although it is spoken by nearly 70 million people globally. In this paper, we report on our survey on the past development of Thai NLP research to help understand its current state and future research directions. Our survey shows that, although Thai NLP community has achieved a significant achievement over the past three decades, particularly on NLP upstream tasks such as tokenisation, research on downstream tasks such as syntactic parsing and semantic analysis is still limited. But we foresee that Thai NLP research willadvance rapidly as richer Thai language resources and more robust NLP techniques become available.",
keywords = "Natural Language Processing, Thai NLP, Survey, Language Resource, NLP tools",
author = "Ratchakrit Arreerard and Stephen Mander and Scott Piao",
year = "2022",
month = jun,
day = "16",
language = "English",
pages = "6495--6505",
booktitle = "Language Resources and Evaluation Conference LREC 2022 Proceedings",
publisher = "European Language Resources Association (ELRA)",
note = "The 13th Edition of Language Resources and Evaluation Conference, LREC 2022 ; Conference date: 21-06-2022 Through 23-06-2022",
url = "https://lrec2022.lrec-conf.org/en/",

}

RIS

TY - GEN

T1 - Survey on Thai NLP Language Resources and Tools

AU - Arreerard, Ratchakrit

AU - Mander, Stephen

AU - Piao, Scott

PY - 2022/6/16

Y1 - 2022/6/16

N2 - Over the past decades, Natural Language Processing (NLP) research has been expanding to cover more languages. Recently particularly, NLP community has paid increasing attention to under-resourced languages. However, there are still many languages for which NLP research is limited in terms of both language resources and software tools. Thai language is one of the under-resourced languages in the NLP domain, although it is spoken by nearly 70 million people globally. In this paper, we report on our survey on the past development of Thai NLP research to help understand its current state and future research directions. Our survey shows that, although Thai NLP community has achieved a significant achievement over the past three decades, particularly on NLP upstream tasks such as tokenisation, research on downstream tasks such as syntactic parsing and semantic analysis is still limited. But we foresee that Thai NLP research willadvance rapidly as richer Thai language resources and more robust NLP techniques become available.

AB - Over the past decades, Natural Language Processing (NLP) research has been expanding to cover more languages. Recently particularly, NLP community has paid increasing attention to under-resourced languages. However, there are still many languages for which NLP research is limited in terms of both language resources and software tools. Thai language is one of the under-resourced languages in the NLP domain, although it is spoken by nearly 70 million people globally. In this paper, we report on our survey on the past development of Thai NLP research to help understand its current state and future research directions. Our survey shows that, although Thai NLP community has achieved a significant achievement over the past three decades, particularly on NLP upstream tasks such as tokenisation, research on downstream tasks such as syntactic parsing and semantic analysis is still limited. But we foresee that Thai NLP research willadvance rapidly as richer Thai language resources and more robust NLP techniques become available.

KW - Natural Language Processing

KW - Thai NLP

KW - Survey

KW - Language Resource

KW - NLP tools

M3 - Conference contribution/Paper

SP - 6495

EP - 6505

BT - Language Resources and Evaluation Conference LREC 2022 Proceedings

PB - European Language Resources Association (ELRA)

CY - Paris

T2 - The 13th Edition of Language Resources and Evaluation Conference

Y2 - 21 June 2022 through 23 June 2022

ER -