{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T23:36:29Z","timestamp":1761176189281,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686318","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,21]]},"abstract":"<jats:p>Symbolic scripts carry deep cultural connotations and important historical values. However, due to their unique symbolic structures, linguistic characteristics of weak semantic association and scarce corpus resources, existing neural network machine translation techniques face challenges including insufficient semantic understanding, severe Out-of-Vocabulary issues , poor translation quality, and limited adaptability to semantic noise when handling their translation tasks. To solve this problem, we propose Semantic Enhancement for Weak Semantics Low-Resource Languages Translation method (SEWLT), using the translation task from Naxi Dongba to Chinese as a case study. Experimental results on a self-constructed Naxi Dongba-Chinese small-scale parallel corpus show excellent performance in terms of accuracy, fluency, and semantic fidelity. It not only provides technical support for the digital preservation and research of the Naxi Dongba script, but also provides an important reference for the research of machine translation of similar weak semantic low-resource languages.<\/jats:p>","DOI":"10.3233\/faia251050","type":"book-chapter","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:50:02Z","timestamp":1761126602000},"source":"Crossref","is-referenced-by-count":0,"title":["SEWLT: Semantic Enhancement for Weak Semantics Low-Resource Languages Translation"],"prefix":"10.3233","author":[{"given":"Chunming","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer and Information, Southwest University, Chongqing, China"}]},{"given":"Yueran","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Southwest University, Chongqing, China"}]},{"given":"Shanxiong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Southwest University, Chongqing, China"}]},{"given":"Xiaoliang","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Chinese Language and Literature, Southwest University, Chongqing, China"}]},{"given":"Ruiyuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer and Information, Southwest University, Chongqing, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:50:02Z","timestamp":1761126602000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251050"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"ISBN":["9781643686318"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251050","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]}}}