Utilize Transformers for translating Wikipedia category names
<|reference_start|>Utilize Transformers for translating Wikipedia category names: On Wikipedia, articles are categorized to aid readers in navigating content efficiently. The manual creation of new categories can be laborious and time-intensive. To tackle this issue, we built language models to translate Wikipedia categories from English to Vietnamese with a dataset containing 15,000 English-Vietnamese category pairs. Subsequently, small to medium-scale Transformer pre-trained models with a sequence-to-sequence architecture were fine-tuned for category translation. The experiments revealed that OPUS-MT-en-vi surpassed other models, attaining the highest performance with a BLEU score of 0.73, despite its smaller model storage. We expect our paper to be an alternative solution for translation tasks with limited computer resources.<|reference_end|>
@article{ta2024utilize,
    title={Utilize Transformers for translating Wikipedia category names},
    author={Hoang-Thang Ta, Quoc Thang La},
    journal={arXiv preprint arXiv:2408.06124},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.06124},
    primaryClass={cs.CL}
}