Knowledge-Grounded Attention-Based Neural Machine Translation Model
Neural machine translation (NMT) model processes sentences in isolation and ignores additional contextual or side information beyond sentences. The input text alone often provides limited knowledge to generate contextually correct and meaningful translation. Relying solely on the input text could yi...
| الحاوية / القاعدة: | APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING |
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| المؤلفون الرئيسيون: | , , , , , , |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
WILEY
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001397785100001 |