CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation.

M. Aswanth; Ratish Puduppully; Raj Dabre; Anoop Kunchukuttan

doi:10.18653/V1/2023.FINDINGS-EMNLP.519

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation.

M. Aswanth
, Ratish Puduppully
, Raj Dabre
, Anoop Kunchukuttan

Indian Institute of Technology Madras
Agency for Science, Technology and Research (A*Star)
National Institute Of Information And Communications Technology, Japan
Microsoft India

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning

Originalsprog	Engelsk
Titel	Findings of the Association for Computational Linguistics: EMNLP 2023
Forlag	Association for Computational Linguistics
Publikationsdato	2023
Sider	7736-7752
DOI	https://doi.org/10.18653/V1/2023.FINDINGS-EMNLP.519 https://doi.org/10.18653/v1/2023.findings-emnlp.519
Status	Udgivet - 2023
Udgivet eksternt	Ja
Begivenhed	Conference on Empirical Methods in Natural Language Processing - Resorts World Convention Centre, Singapore Varighed: 6 dec. 2023 → 10 dec. 2023 https://2023.emnlp.org/

Konference

Konference	Conference on Empirical Methods in Natural Language Processing
Lokation	Resorts World Convention Centre
Land/Område	Singapore
Periode	06/12/2023 → 10/12/2023
Internetadresse	https://2023.emnlp.org/

Adgang til dokumentet

https://dblp.org/rec/conf/emnlp/MPDK23

Citationsformater

Aswanth, M., Puduppully, R., Dabre, R., & Kunchukuttan, A. (2023). CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. I Findings of the Association for Computational Linguistics: EMNLP 2023 (s. 7736-7752). Association for Computational Linguistics. https://doi.org/10.18653/V1/2023.FINDINGS-EMNLP.519, https://doi.org/10.18653/v1/2023.findings-emnlp.519

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author = "M. Aswanth and Ratish Puduppully and Raj Dabre and Anoop Kunchukuttan",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; Conference on Empirical Methods in Natural Language Processing, EMNLP ; Conference date: 06-12-2023 Through 10-12-2023",

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Aswanth, M, Puduppully, R, Dabre, R & Kunchukuttan, A 2023, CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. i Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, s. 7736-7752, Conference on Empirical Methods in Natural Language Processing, Singapore, 06/12/2023. https://doi.org/10.18653/V1/2023.FINDINGS-EMNLP.519, https://doi.org/10.18653/v1/2023.findings-emnlp.519

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. / Aswanth, M.; Puduppully, Ratish; Dabre, Raj et al.
Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, 2023. s. 7736-7752.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning

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PY - 2023

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