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2026

Journal Article

Pre-ordering representations improve low-resource neural machine translation and application in the Māori language

Gao, Yuan, Hou, Feng and Jahnke, Huia (2026). Pre-ordering representations improve low-resource neural machine translation and application in the Māori language. Multimedia Tools and Applications, 85 (1) 26, 1-21. doi: 10.1007/s11042-026-21153-5

Pre-ordering representations improve low-resource neural machine translation and application in the Māori language

2024

Conference Publication

Incorporating pre-ordering representations for low-resource neural machine translation

Gao, Yuan, Hou, Feng and Wang, Ruili (2024). Incorporating pre-ordering representations for low-resource neural machine translation. 6th Conference on Multimedia in Asia, Auckland, New Zealand, 3-6 December 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696409.3700267

Incorporating pre-ordering representations for low-resource neural machine translation

2024

Conference Publication

A novel two-step fine-tuning framework for transfer learning in low-resource neural machine translation

Gao, Yuan, Hou, Feng and Wang, Ruili (2024). A novel two-step fine-tuning framework for transfer learning in low-resource neural machine translation. 2024 Conference of the North American Chapter of the Association for Computational Linguistics-NAACL, Mexico City, Mexico, 16-21 June 2024. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2024.findings-naacl.203

A novel two-step fine-tuning framework for transfer learning in low-resource neural machine translation

2024

Conference Publication

How to design translation prompts for ChatGPT: an empirical study

Gao, Yuan, Wang, Ruili and Hou, Feng (2024). How to design translation prompts for ChatGPT: an empirical study. 6th Conference on Multimedia in Asia, Auckland, New Zealand, 3-6 December 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3700410.3702123

How to design translation prompts for ChatGPT: an empirical study