{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T09:14:49Z","timestamp":1771665289231,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/taslp.2021.3097939","type":"journal-article","created":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T23:38:24Z","timestamp":1628638704000},"page":"2606-2616","source":"Crossref","is-referenced-by-count":8,"title":["Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9303-1110","authenticated-orcid":false,"given":"Xintong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lemao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaopeng","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3142-5928","authenticated-orcid":false,"given":"Guanlin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuming","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5255-5898","authenticated-orcid":false,"given":"Max Q.-H.","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Thumt: An open source toolkit for neural machine translation","author":"zhang","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-3017"},{"key":"ref33","article-title":"Latent alignment and variational attention","author":"deng","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.757"},{"key":"ref31","article-title":"Multi-task sequence to sequence learning","author":"luong","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3115\/1557769.1557821"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12008"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1046"},{"key":"ref34","first-page":"260","article-title":"Overview of the patent machine translation task at the NTCIR-10 workshop","author":"goto","year":"2013","journal-title":"Proc NTCIR Workshop"},{"key":"ref60","first-page":"4792","article-title":"Syntax-Directed attention for neural machine translation","author":"chen","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref62","article-title":"Guided alignment training for topic-aware neural machine translation","author":"chen","year":"2016"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1249"},{"key":"ref28","article-title":"Neural machine translation with supervised attention","author":"liu","year":"2016"},{"key":"ref27","article-title":"Layer normalization","author":"ba","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511815829"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1125"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2789721"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1515\/pralin-2017-0006"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219873"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219897"},{"key":"ref23","first-page":"466","article-title":"Understanding and improving hidden representations for neural machine translation","author":"li","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.35"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220511"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2053"},{"key":"ref59","first-page":"211","article-title":"Look-Ahead attention for generation in neural machine translation","author":"zhou","year":"2017","journal-title":"Nat CCF Conf Natural Lang Process Chin Comput"},{"key":"ref58","article-title":"Plan, Attend, Generate: Planning for sequence-to-sequence models","author":"dutil","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref57","article-title":"A gru-gated attention model for neural machine translation","author":"zhang","year":"2017"},{"key":"ref56","article-title":"Temporal attention model for neural machine translation","author":"sankaran","year":"2016"},{"key":"ref55","article-title":"Interactive attention for neural machine translation","author":"meng","year":"2016"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00097"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1163"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1036"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2499302"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21236\/ADA461156"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073478"},{"key":"ref12","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref15","first-page":"3082","article-title":"Improving attention modeling with implicit distortion and fertility for machine translation","author":"feng","year":"2016","journal-title":"Proc 26th Int Conf Comput Linguistics Tech Papers"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1102"},{"key":"ref17","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref18","first-page":"975","article-title":"Combination of statistical and neural machine translation for myanmar-english","author":"marie","year":"2018","journal-title":"Proc 32nd Pacific Asia Conf Lang Inf Comput 5th Workshop Asian Transl 5th Workshop Asian Transl"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1187"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2497149"},{"key":"ref3","first-page":"2773","article-title":"Grammar as a foreign language","author":"vinyals","year":"2015","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref6","first-page":"3776","article-title":"Building end-to-end dialogue systems using generative hierarchical neural network models","author":"serban","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref5","first-page":"4873","article-title":"Improving sequence-to-sequence constituency parsing","author":"liu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2813306"},{"key":"ref7","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1124"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2263557"},{"key":"ref46","first-page":"176","article-title":"Better hypothesis testing for statistical machine translation: Controlling for optimizer instability","author":"clark","year":"2011","journal-title":"Proc 49th Annu Meeting Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref45","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref48","first-page":"2295","article-title":"Contrastive unsupervised word alignment with non-local features","author":"liu","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-2209"},{"key":"ref42","article-title":"Semi-supervised learning for natural language","author":"liang","year":"2005"},{"key":"ref41","first-page":"467","article-title":"Class-based n-gram models of natural language","volume":"18","author":"brown","year":"1992","journal-title":"Comput Linguistics"},{"key":"ref44","article-title":"Neural machine translation of rare words with subword units","author":"sennrich","year":"2015"},{"key":"ref43","article-title":"Adadelta: An adaptive learning rate method","author":"zeiler","year":"2012"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9289074\/09490355.pdf?arnumber=9490355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:54Z","timestamp":1652194434000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9490355\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/taslp.2021.3097939","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}