User Preference Model-Based Sentiment-Semantic Corresponding Method for Korean Text Translation
In order to solve the problems of poor matching accuracy and long time-consuming in traditional Korean text translation emotional semantic matching methods, this paper proposes research on a Korean text translation emotional semantic matching method considering a user preference model. Build a user...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Tamkang University Press
2026-07-01
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| Серии: | Journal of Applied Science and Engineering |
| Предметы: | |
| Online-ссылка: | https://jase.tku.edu.tw/jase/?tkuisotope=jase-202610-33-028 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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