The fuzzy semantic similarity measure.

<div><p>People’s need for English translation is gradually growing in the modern era of technological advancements, and a computer that can comprehend and interpret English is now more crucial than ever. Some issues, including ambiguity in English translation and improper word choice in...

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Bibliographic Details
Main Author:	Na Wang (193263) (author)
Published:	2025
Subjects:	Molecular Biology Neuroscience Cancer Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified system &# 8217 proximal policy optimisation predetermined reward signal longest matching sequence lingual evaluation understudy two linguistic elements translation policy depending machine translation assessment improper word choice considering fuzzy semantic jaccard similarity coefficient optimal control techniques feature extraction techniques suggested reinforcement learning based translation model fuzzy semantic similarity english translation model improve translation accuracy reinforcement learning english translation translation techniques two sentences translation using translation procedures translation accuracy simple word semantic resemblance semantic link accuracy based interpret english various metrics training estimates technology score technological advancements sentences involved preprocessed sentences nist ). necessary preprocessing national institute modern era level comparison initially gathered including ambiguity gradually growing generated translations edge computing domain data complex grasp bleu ), avoid uncertainties
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The fuzzy semantic similarity measure.

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