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arXiv · 2408.06124

Utilize Transformers for translating Wikipedia category names

Hoang-Thang Ta·Quoc Thang La
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Abstract

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.

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Hoang-Thang Ta, Quoc Thang La. 2024-08-12. Utilize Transformers for translating Wikipedia category names. https://arxiv.org/abs/2408.06124

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