{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:50:43Z","timestamp":1776811843652,"version":"3.51.2"},"reference-count":22,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,4,4]]},"abstract":"<jats:p>In daily life, English is increasingly used in various scenarios, and the technology of translation using machines and others is gradually maturing, but there are still cases of inaccurate translation. To enhance translation\u2019s accuracy, this study optimizes the method of fuzzy semantic selection, and then optimizes the method of domain analysis combined with neural networks to improve the accuracy of machine translation in different domains. The accuracy of the optimized neural network tends to be stable when the number of iterations is 15, the accuracy is 0.96, the accuracy of the traditional neural network is 0.91, and RNN is 0.82. Compared with the benchmark system, the bilingual mapping model has increased by 0.67% in the news field and 0.56% in the education field. The precision, recall and F value of machine translation are 93%, 86% and 0.8 respectively. The comprehensive experimental results show that the selection method based on fuzzy semantics, combined with the domain analysis method of network neural, can remarkably enhance the accuracy.<\/jats:p>","DOI":"10.3233\/jcm-226635","type":"journal-article","created":{"date-parts":[[2022,12,6]],"date-time":"2022-12-06T13:07:56Z","timestamp":1670332076000},"page":"675-687","source":"Crossref","is-referenced-by-count":0,"title":["Selection and study of fuzzy semantics in machine translation"],"prefix":"10.66113","volume":"23","author":[{"given":"Yungang","family":"Wang","sequence":"first","affiliation":[{"name":"School of English Studies, Xi\u2019an Fanyi University, Xi\u2019an, Shaanxi 710105, China"},{"name":"College of Liberal Arts and Communication, De La Salle University, Dasmari\u00f1as, Cavite 4115, Philippines"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"4","key":"10.3233\/JCM-226635_ref1","doi-asserted-by":"crossref","first-page":"54042","DOI":"10.1109\/ACCESS.2019.2911656","article-title":"Multimodal neural machine translation with weakly labeled images","volume":"7","author":"Heo","year":"2019","journal-title":"IEEE Access."},{"issue":"5","key":"10.3233\/JCM-226635_ref2","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1109\/TFUZZ.2020.2969399","article-title":"A hierarchical clustering approach to fuzzy semantic representation of rare words in neural machine translation","volume":"28","author":"Yang","year":"2020","journal-title":"IEEE Trans Fuzzy Syst."},{"issue":"5","key":"10.3233\/JCM-226635_ref3","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1109\/TFUZZ.2020.2973129","article-title":"Proximity-based unification: An efficient implementation method","volume":"29","author":"Julian-Iranzo","year":"2020","journal-title":"IEEE Trans Fuzzy Syst."},{"issue":"4","key":"10.3233\/JCM-226635_ref5","first-page":"629","article-title":"Improving statistical machine translation quality using differential evolution","volume":"30","author":"Dugonik","year":"2019","journal-title":"Inf."},{"issue":"4","key":"10.3233\/JCM-226635_ref6","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.3390\/s21041493","article-title":"Machine translation utilizing the frequent-item set concept","volume":"21","author":"Mahmoud","year":"2021","journal-title":"Sens."},{"issue":"8","key":"10.3233\/JCM-226635_ref7","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.neucom.2020.05.104","article-title":"Improving neural machine translation with sentence alignment learning","volume":"420","author":"Shi","year":"2021","journal-title":"Neurocomput."},{"issue":"1","key":"10.3233\/JCM-226635_ref8","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s10590-019-09232-x","article-title":"Post-editing neural machine translation versus translation memory segments","volume":"33","author":"Sanchez-Gijon","year":"2019","journal-title":"Mach Transl."},{"issue":"8","key":"10.3233\/JCM-226635_ref10","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.neucom.2019.05.032","article-title":"Hybrid attention for Chinese character-level neural machine translation","volume":"358","author":"Wang","year":"2019","journal-title":"Neurocomput."},{"issue":"7","key":"10.3233\/JCM-226635_ref11","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.cub.2019.02.034","article-title":"Neural network models and deep learning","volume":"29","author":"Kriegeskorte","year":"2019","journal-title":"Curr Biol."},{"issue":"7","key":"10.3233\/JCM-226635_ref12","doi-asserted-by":"crossref","first-page":"2948","DOI":"10.3390\/app11072948","article-title":"Evaluation of English-Slovak neural and statistical machine translation","volume":"11","author":"Benkova","year":"2021","journal-title":"Appl Sci."},{"key":"10.3233\/JCM-226635_ref13","doi-asserted-by":"crossref","unstructured":"Singh M, Kumar R, Chana I. 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