{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:54:10Z","timestamp":1777704850431,"version":"3.51.4"},"reference-count":8,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,3,5]]},"abstract":"<jats:p>As the typical distant language pair, Chinese and Vietnamese vary widely in syntactic structure, which significantly influences the performance of Chinese-Vietnamese machine translation. To address this problem, we present a simple approach with a pre-reordering model for closing syntactic gaps of the Chinese-Vietnamese language pair. Specifically, we first propose an algorithm for recognizing the modifier inverse, one of the most representative syntactic different in Chinese-Vietnamese language pair. Then we pre-train a pre-reordering model based on the former recognition algorithm and incorporate it into the attention-based translation framework for syntactic different reordering. We conduct empirical studies on Chinese-Vietnamese neural machine translation task, the results show that our approach achieves average improvement of 2.75 BLEU points in translation quality over the baseline model. In addition, the translation fluency can be significantly improved by over 2.44 RIBES points.<\/jats:p>","DOI":"10.3233\/jifs-233762","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T12:17:06Z","timestamp":1706271426000},"page":"5533-5544","source":"Crossref","is-referenced-by-count":0,"title":["Handling syntactic difference in Chinese-Vietnamese neural machine translation"],"prefix":"10.1177","volume":"46","author":[{"given":"Zhiqiang","family":"Yu","sequence":"first","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuewen","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/JIFS-233762_ref1","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1145\/3418059","article-title":"Unsupervised Neural Machine Translation for Similar and Distant Language Pairs: An Empirical Study","volume":"20","author":"Sun","year":"2021","journal-title":"ACM Transactions on Asian and Low-Resource Language Information Processing"},{"issue":"2","key":"10.3233\/JIFS-233762_ref2","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1587\/transinf.2018EDP7211","article-title":"Preordering for Chinese-Vietnam Statistical Machine Translation","volume":"E102-D","author":"Huu","year":"2019","journal-title":"IEICE Transactions on Information and Systems"},{"key":"10.3233\/JIFS-233762_ref3","first-page":"459","article-title":"Log-linear models for word alignment","author":"Liu","year":"2005","journal-title":"In Proceedings of ACL"},{"issue":"1","key":"10.3233\/JIFS-233762_ref8","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1515\/pralin-2017-0018","article-title":"Pre-Reordering for Neural Machine Translation: Helpful or Harmful","volume":"108","author":"Du","year":"2017","journal-title":"The Prague Bulletin of Mathematical Linguistics"},{"key":"10.3233\/JIFS-233762_ref11","first-page":"1","article-title":"A character level based and word-level based approach for Chinese-Vietnamese machine translation","author":"Phuoc","year":"2016","journal-title":"Computational Intelligence and Neuroscience"},{"issue":"6","key":"10.3233\/JIFS-233762_ref12","doi-asserted-by":"crossref","first-page":"715","DOI":"10.26599\/TST.2018.9010006","article-title":"Integrating Pronunciation into Chinese-Vietnamese Statistical Machine Translation","volume":"23","author":"Huu","year":"2018","journal-title":"Tsinghua Science and Technology"},{"issue":"3","key":"10.3233\/JIFS-233762_ref13","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1145\/3373267","article-title":"Towards Integrated Classification Lexicon for Handling Unknown Words in Chinese-Vietnamese Neural Machine Translation","volume":"19","author":"Che","year":"2020","journal-title":"ACM Transactions on Asian and Low-Resource Language Information Processing"},{"key":"10.3233\/JIFS-233762_ref15","doi-asserted-by":"crossref","unstructured":"Yu Z. , Xian Y. , Yu Z. , Huang Y. and Guo J. , Linguistic feature template integration for Chinese-Vietnamese neural machine translation, Frontiers of Computer Science 16(3) (2022).","DOI":"10.1007\/s11704-022-1297-0"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-233762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:42:09Z","timestamp":1777455729000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-233762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,5]]},"references-count":8,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jifs-233762","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,5]]}}}