{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:30:06Z","timestamp":1777703406274,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,1,13]],"date-time":"2017-01-13T00:00:00Z","timestamp":1484265600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2017,1,13]]},"abstract":"<jats:p>Machine Translation (MT) requires a large amount of linguistic resources, which leads current MT systems to leaving unknown words untranslated. This can be annoying for end users, as they might not understand at all such untranslated words. However, most language families share a common vocabulary, therefore this knowledge can be leveraged to produce more understandable translations, typically for \u201cassimilation\u201d or gisting use. Based on this observation, we propose a method that constructs polyglot translations tailored to a particular user language. Simply put, an unknown word is translated into a set of languages that relate to the user\u2019s language, and the translated word that is closest to the user\u2019s language is used as a replacement of the unknown word. Experimental results on language coverage over three language families indicate that our method may improve the usefulness of MT systems. As confirmed by a subsequent human evaluation, polyglot translations look indeed familiar to the users, and are perceived to be easier to read and understand than translations in their related natural languages.<\/jats:p>","DOI":"10.3233\/jifs-152533","type":"journal-article","created":{"date-parts":[[2017,1,17]],"date-time":"2017-01-17T13:24:39Z","timestamp":1484659479000},"page":"613-627","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Polyglot machine translation"],"prefix":"10.1177","volume":"32","author":[{"given":"Luis A.","family":"Leiva","sequence":"first","affiliation":[{"name":"Sciling, CPI UPV, Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vicent","family":"Alabau","sequence":"additional","affiliation":[{"name":"Sciling, CPI UPV, Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,1,13]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/applin\/24.4.425"},{"key":"e_1_3_4_3_2","article-title":"Comparative Indo-European Linguistics: An introduction","author":"Beeke R.S.P.","year":"2011","unstructured":"BeekeR.S.P., Comparative Indo-European Linguistics: An introduction, John Benjamins Publishing Company (2011).","journal-title":"John Benjamins Publishing Company"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1093\/applin\/amn036"},{"key":"e_1_3_4_5_2","volume-title":"Usability Evaluation in Industry","author":"Brooke J.","year":"1996","unstructured":"BrookeJ., SUS: A \u201cquick and dirty\u201d usability scale. 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