Research on morphological knowledge-guided low-resource agglutinative languages-Chinese translation
Abstract Data sparsity and out-of-vocabulary are the main challenges in low-resource machine translation, and the impact of such problems in translation can be reduced through word segmentation. Word segmentation can be roughly divided into two categories: unsupervised word segmentation and morpholo...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2025-02-01
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| Серія: | Complex & Intelligent Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s40747-025-01780-5 |
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