{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:49:24Z","timestamp":1761648564771,"version":"3.37.3"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6176116608","61672555","61432013","61732005"],"award-info":[{"award-number":["6176116608","61672555","61432013","61732005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Opening Project of Beijing Key Laboratory of Internet Culture and Digital Dissemination Research"},{"name":"Joint Project of Macao Science and Technology Development Fund and National Natural Science Foundation of China","award":["045\/2017\/AFJ"],"award-info":[{"award-number":["045\/2017\/AFJ"]}]},{"name":"Multiyear Research Grant from the University of Macau","award":["MYRG2017-00087-FST","MYRG2015-00175-FST","MYRG2015-00188-FST"],"award-info":[{"award-number":["MYRG2017-00087-FST","MYRG2015-00175-FST","MYRG2015-00188-FST"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/taslp.2018.2864648","type":"journal-article","created":{"date-parts":[[2018,8,9]],"date-time":"2018-08-09T19:05:13Z","timestamp":1533841513000},"page":"2341-2354","source":"Crossref","is-referenced-by-count":21,"title":["Linguistic Knowledge-Aware Neural Machine Translation"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0275-4987","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5307-7322","authenticated-orcid":false,"given":"Derek F.","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Lidia S.","family":"Chao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6519-2379","authenticated-orcid":false,"given":"Muhua","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5842-6501","authenticated-orcid":false,"given":"Tong","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Jingbo","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4327-0759","authenticated-orcid":false,"given":"Min","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-4025"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1175"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00065"},{"key":"ref30","first-page":"868","article-title":"Factored translation models","author":"koehn","year":"2007","journal-title":"Proc Joint Conf Empirical Methods Natural Lang Process Comput Natural Lang"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1304"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1064"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1026"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1101"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2049"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/coli.2007.33.2.201"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref1","first-page":"3104","article-title":"Sequence to\n sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Proc Adv Neural Inf Process Syst Montreal QC Canada"},{"key":"ref20","first-page":"83","article-title":"Linguistic input features improve neural machine translation","author":"sennrich","year":"2016","journal-title":"Proc 1st Conf Mach Transl"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1150"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1078"},{"article-title":"Factored neural machine translation","year":"2016","author":"garc\u00eda-mart\u00ednez","key":"ref24"},{"article-title":"Syntax-aware neural machine translation using\n CCG","year":"2017","author":"nadejde","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1301"},{"key":"ref50","first-page":"388","article-title":"Statistical significance tests for machine translation evaluation","author":"koehn","year":"2004","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"article-title":"Neural machine translation in linear time","year":"2016","author":"kalchbrenner","key":"ref51"},{"key":"ref54","article-title":"Outrageously large neural networks: The\n sparsely-gated mixture-of-experts layer","author":"shazeer","year":"0","journal-title":"Proc Int Conf Learning Representations"},{"key":"ref53","first-page":"1243","article-title":"Convolutional sequence to sequence learning","author":"gehring","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"article-title":"Google's neural machine translation system: Bridging\n the gap between human and machine translation","year":"2016","author":"wu","key":"ref52"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.21236\/ADA461156"},{"key":"ref11","first-page":"868","article-title":"Factored translation models","author":"koehn","year":"2007","journal-title":"Proc Joint Conf Empirical Methods Natural Lang Process Comput Natural Lang Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073478"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00048"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1025"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1515\/pralin-2017-0021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1159"},{"key":"ref17","article-title":"Tree-to-string alignment\n template for statistical machine translation","author":"liu","year":"2006","journal-title":"Proc 21st Int Conf Comput Linguistics 44th Annu Meeting Assoc Comput Linguistics Conf"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2594383"},{"key":"ref19","article-title":"Multi-task sequence to sequence learning","author":"luong","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref3","article-title":"Neural\n machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2751420"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2015.69"},{"key":"ref8","first-page":"371","article-title":"Edinburgh\n neural machine translation systems for WMT 16","author":"sennrich","year":"0","journal-title":"Proc 1st Conf Mach Transl"},{"key":"ref7","first-page":"1700","article-title":"Recurrent continuous translation models","author":"kalchbrenner","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref49","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from\n overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref9","first-page":"389","article-title":"The university of edinburgh's neural MT\n systems for WMT17","author":"sennrich","year":"0","journal-title":"Proc 2nd Conf Mach Transl"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1162"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/5.58337","article-title":"Bachpropagation through time: What it does and how to do it","volume":"78","author":"werbos","year":"0","journal-title":"Proc IEEE"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learning Representations"},{"key":"ref47","article-title":"Recurrent\n neural network regularization","author":"zaremba","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1082"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219885"},{"key":"ref44","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3115\/1075096.1075100"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/8440863\/08430540.pdf?arnumber=8430540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T16:05:31Z","timestamp":1643213131000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8430540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":54,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/taslp.2018.2864648","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"type":"print","value":"2329-9290"},{"type":"electronic","value":"2329-9304"}],"subject":[],"published":{"date-parts":[[2018,12]]}}}