Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer

Trong Huy Nguyen; Thanh Huong Le; Que Nhu Tran

Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer

Trong Huy Nguyen, Thanh Huong Le, Que Nhu Tran

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Anthology ID:: 2025.paclic-1.4
Volume:: Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:: December
Year:: 2025
Address:: Hanoi, Vietnam
Editors:: Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:: PACLIC
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 38–50
Language:
URL:: https://aclanthology.org/2025.paclic-1.4/
DOI:
Bibkey:
Cite (ACL):: Trong Huy Nguyen, Thanh Huong Le, and Que Nhu Tran. 2025. Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 38–50, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):: Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer (Nguyen et al., PACLIC 2025)
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PDF:: https://aclanthology.org/2025.paclic-1.4.pdf

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@inproceedings{nguyen-etal-2025-towards,
    title = "Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of {V}ietnamese - {K}hmer",
    author = "Nguyen, Trong Huy  and
      Le, Thanh Huong  and
      Tran, Que Nhu",
    editor = "Huang, Chu-Ren  and
      Harada, Yasunari  and
      Kim, Jong-Bok  and
      Huyen, Nguyen T.M.  and
      Huong, Le Thanh  and
      Hien, Pham  and
      Chersoni, Emmanuele  and
      Nguyen, Le Minh  and
      Roxas, Rachel Edita O{\~n}ate  and
      Dita, Sherly",
    booktitle = "Proceedings of the 39th Pacific {A}sia Conference on Language, Information and Computation",
    month = dec,
    year = "2025",
    address = "Hanoi, Vietnam",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.paclic-1.4/",
    pages = "38--50"
}

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%0 Conference Proceedings
%T Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer
%A Nguyen, Trong Huy
%A Le, Thanh Huong
%A Tran, Que Nhu
%Y Huang, Chu-Ren
%Y Harada, Yasunari
%Y Kim, Jong-Bok
%Y Huyen, Nguyen T.M.
%Y Huong, Le Thanh
%Y Hien, Pham
%Y Chersoni, Emmanuele
%Y Nguyen, Le Minh
%Y Roxas, Rachel Edita Oñate
%Y Dita, Sherly
%S Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
%D 2025
%8 December
%I Association for Computational Linguistics
%C Hanoi, Vietnam
%F nguyen-etal-2025-towards
%U https://aclanthology.org/2025.paclic-1.4/
%P 38-50

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Markdown (Informal)

[Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer](https://aclanthology.org/2025.paclic-1.4/) (Nguyen et al., PACLIC 2025)

Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer (Nguyen et al., PACLIC 2025)

ACL

Trong Huy Nguyen, Thanh Huong Le, and Que Nhu Tran. 2025. Towards Improving Low-Resource Machine Translation with Lightweight Training and Synthetic Data: Case Study of Vietnamese - Khmer. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 38–50, Hanoi, Vietnam. Association for Computational Linguistics.