Papers by Nam Luu
Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque (2026.eacl-srw)
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| Challenge: | Existing LLMs do not translate well from English to Basque, but they yield an acceptable performance in the reverse direction. |
| Approach: | They propose to use a Basque monolingual corpora to train an LLM-based MT system . they use 'sovereignty fine tuning' to generate parallel corporata, and then use preference optimization . |
| Outcome: | The proposed system improves translation quality in English-to-Basque direction while requiring limited data for low-resource languages. |
ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Texts (2026.eacl-long)
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| Challenge: | Recent advances in NLP have greatly improved outcomes in emotion prediction and harmful content detection. |
| Approach: | They propose to classify Vietnamese comments into 27 distinct emotions using a model-based lexical normalization system and a transformer-based model. |
| Outcome: | The proposed corpus of 20,664 social media comments is based on a novel model that can support multiple architectures, but its quality and preprocessing strategies remain key factors influencing performance. |