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ViBidirectionMT - Eval: Machine translation for Vietnamese-Chinese and Vietnamese-Lao language pair

Year: 2025

Type: article

Abstract: This paper presents the results of the VLSP 2022-2023 Machine Translation Shared Tasks, focusing on Vietnamese-Chinese and Vietnamese-Lao machine translation. The tasks were organized as part of the 9th and 10th annual workshops on Vietnamese Language and Speech Processing (VLSP 2022, VLSP 2023). The objective of the shared task was to build machine translation systems, specifically targeting Vietnamese-Chinese and Vietnamese-Lao translation (corresponding to 4 translation directions). The submissions were evaluated on 1,000 test pairs from both news and general domains, using established metrics such as BLEU and SacreBLEU. In addition to these automated evaluations, the system outputs were also assessed through human judgment by experts in the Chinese and Lao languages. These human assessments played a crucial role in ranking the performance of the machine translation models, ensuring a more comprehensive evaluation.

Source: Journal of Computer Science and Cybernetics

DOI: 10.15625/1813-9663/21055

Authors: Tran Hong Viet, Nguyen Minh Quy, Nguyen Van Vinh

Institutions: Vietnam National University, Hanoi, VNU University of Engineering and Technology

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4414775365

FWCI: 0.427

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Cited by: 1

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