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

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

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",

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doi = "10.18653/V1/2023.FINDINGS-EMNLP.519",

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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. 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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