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...

书目详细资料
发表在:	APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING
Main Authors:	Israr, Huma; Khan, Safdar Abbas; Tahir, Muhammad Ali; Shahzad, Muhammad Khuram; Ahmad, Muneer; Zain, Jasni Mohamad
格式:	文件
语言:	English
出版:	WILEY 2025
主题:	Computer Science
在线阅读:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001397785100001

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