{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T20:54:45Z","timestamp":1725742485453},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533529","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T17:27:41Z","timestamp":1632158861000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Coverage for Non-Autoregressive Neural Machine Translation"],"prefix":"10.1109","author":[{"given":"Yong","family":"Shan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenze","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1121"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301443"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2047"},{"key":"ref32","article-title":"Learning to recover from multimodality errors for non-autoregressive neural machine translation","author":"ran","year":"2020","journal-title":"ACL"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1044"},{"key":"ref30","article-title":"Non-autoregressive transformer by position learning","author":"bao","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-32-9748-7_2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1046"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1086"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1288"},{"key":"ref40","article-title":"Neural machine translation with reconstruction","author":"tu","year":"0","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5351"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21236\/ADA461156"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1296"},{"key":"ref14","first-page":"606","article-title":"Minimum error rate training by sampling the translation lattice","author":"chatterjee","year":"2010","journal-title":"EMNLP"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1149"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1573"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1437"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1162"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1122"},{"key":"ref4","article-title":"Google's neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"arXiv Computation and Language"},{"key":"ref27","article-title":"Fast decoding in sequence models using discrete latent variables","author":"kaiser","year":"2018","journal-title":"ICML"},{"key":"ref3","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015"},{"key":"ref6","article-title":"Non-autoregressive neural machine translation","author":"gu","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i15.17618","article-title":"Guiding non-autoregressive neural machine translation decoding with reordering information","author":"ran","year":"2021","journal-title":"AAAI"},{"key":"ref5","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015377"},{"key":"ref2","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1096"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1139"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1633"},{"key":"ref21","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"key":"ref24","first-page":"11179","article-title":"Levenshtein transformer","author":"gu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6413"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013723"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1336"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533529.pdf?arnumber=9533529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T14:47:58Z","timestamp":1673275678000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533529\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533529","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}