Knowledge-Grounded Attention-Based Neural Machine Translation Model

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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...

書誌詳細
出版年:	APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING
主要な著者:	Israr, Huma; Khan, Safdar Abbas; Tahir, Muhammad Ali; Shahzad, Muhammad Khuram; Ahmad, Muneer; Zain, Jasni Mohamad
フォーマット:	論文
言語:	English
出版事項:	WILEY 2025
主題:	Computer Science
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001397785100001

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