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...
| 出版年: | APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING |
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| 主要な著者: | , , , , , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
WILEY
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001397785100001 |