{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:28:50Z","timestamp":1771036130183,"version":"3.50.1"},"reference-count":7,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T00:00:00Z","timestamp":1544400000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002531","name":"Kyungpook National University","doi-asserted-by":"publisher","award":["21A20131600005"],"award-info":[{"award-number":["21A20131600005"]}],"id":[{"id":"10.13039\/501100002531","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2018,12,10]]},"abstract":"<jats:p>In this research article, we study the problem of employing a neural machine translation model to translate Arabic dialects to Modern Standard Arabic. The proposed solution of the neural machine translation model is prompted by the recurrent neural network-based encoder-decoder neural machine translation model that has been proposed recently, which generalizes machine translation as sequence learning problems. We propose the development of a multitask learning (MTL) model which shares one decoder among language pairs, and every source language has a separate encoder. The proposed model can be applied to limited volumes of data as well as extensive amounts of data. Experiments carried out have shown that the proposed MTL model can ensure a higher quality of translation when compared to the individually learned model.<\/jats:p>","DOI":"10.1155\/2018\/7534712","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T18:32:04Z","timestamp":1544466724000},"page":"1-10","source":"Crossref","is-referenced-by-count":35,"title":["A Neural Machine Translation Model for Arabic Dialects That Utilizes Multitask Learning (MTL)"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0029-0859","authenticated-orcid":true,"given":"Laith H.","family":"Baniata","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyoung","family":"Park","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6453-0348","authenticated-orcid":true,"given":"Seong-Bae","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1080\/00437956.1959.11659702"},{"issue":"1","key":"12","first-page":"39","volume":"8","year":"2010","journal-title":"International Journal of Information Science and Management"},{"key":"15","first-page":"2493","volume":"12","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"20","first-page":"3104","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"4","key":"21","volume":"16","year":"2017","journal-title":"ACM Transactions on Asian and Low-Resource Language Information Processing"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/7534712.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/7534712.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/7534712.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T18:32:08Z","timestamp":1544466728000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2018\/7534712\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,10]]},"references-count":7,"alternative-id":["7534712","7534712"],"URL":"https:\/\/doi.org\/10.1155\/2018\/7534712","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,10]]}}}