{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:18:03Z","timestamp":1777706283390,"version":"3.51.4"},"reference-count":3,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2022,7,21]]},"abstract":"<jats:p>In recent years, Neural Machine Translation (NMT), which harnesses the power of neural networks, has achieved astonishing achievements. Despite its promise, NMT models can still not model prior external knowledge. Recent investigations have necessitated the adaptation of past expertise to both training and inference methods, resulting in translation inference issues. This paper proposes an extension of the moment matching framework that incorporates advanced prior knowledge without interfering with the inference process by using a matching mechanism between the model and empirical distributions. Our tests show that the suggested expansion outperforms the baseline and effectively over various language combinations.<\/jats:p>","DOI":"10.3233\/jifs-213240","type":"journal-article","created":{"date-parts":[[2022,3,22]],"date-time":"2022-03-22T18:20:56Z","timestamp":1647973256000},"page":"2633-2645","source":"Crossref","is-referenced-by-count":0,"title":["Moment matching training for neural machine translation: An empirical study"],"prefix":"10.1177","volume":"43","author":[{"given":"Long H. B.","family":"Nguyen","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nghi T.","family":"Pham","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le D. C.","family":"Duc","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong Duy Vu","family":"Hoang","sequence":"additional","affiliation":[{"name":"Oracle Digital Assistant, Oracle Corporation, Melbourne, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dien","family":"Dinh","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, University of Science Ho Chi Minh City, Vietnam"},{"name":"Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-213240_ref7","doi-asserted-by":"crossref","unstructured":"Yin Yongjing , Su Jinsong , Wen Huating , Zeng Jiali , Liu Yang and Chen Yidong , Pos tag-enhanced coarseto- fine attention for neural machine translation, ACM Trans Asian Low-Resour Lang Inf Process 18(4), April 2019. ISSN 2375-4699. doi: 10.1145\/3321124. URL https:\/\/doi.org\/10.1145\/3321124","DOI":"10.1145\/3321124"},{"key":"10.3233\/JIFS-213240_ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9939389"},{"issue":"8","key":"10.3233\/JIFS-213240_ref15","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-213240","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:46:29Z","timestamp":1777455989000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-213240"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,21]]},"references-count":3,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jifs-213240","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,21]]}}}