{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T15:20:40Z","timestamp":1777562440750,"version":"3.51.4"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001691","name":"JSPS KAKENHI","doi-asserted-by":"publisher","award":["20K20625"],"award-info":[{"award-number":["20K20625"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"JSPS KAKENHI","doi-asserted-by":"publisher","award":["22H00600"],"award-info":[{"award-number":["22H00600"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3185415","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T19:41:37Z","timestamp":1655926897000},"page":"67047-67057","source":"Crossref","is-referenced-by-count":3,"title":["DbAPE: Denoising-Based APE System for Improving English-Myanmar NMT"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9384-412X","authenticated-orcid":false,"given":"May Myo","family":"Zin","sequence":"first","affiliation":[{"name":"School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Nomi, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8823-2361","authenticated-orcid":false,"given":"Teeradaj","family":"Racharak","sequence":"additional","affiliation":[{"name":"School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Nomi, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2265-1010","authenticated-orcid":false,"given":"Minh","family":"Le Nguyen","sequence":"additional","affiliation":[{"name":"School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Nomi, Japan"}]}],"member":"263","reference":[{"key":"ref30","article-title":"Fixing weight decay regularization in Adam","author":"loshchilov","year":"2017","journal-title":"arXiv 1711 05101"},{"key":"ref10","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"liu","year":"2019","journal-title":"arXiv 1907 11692"},{"key":"ref11","first-page":"862","article-title":"Improving unsupervised word-by-word translation using language model and denoising autoencoder","author":"kim","year":"0","journal-title":"Proc EMNLP"},{"key":"ref12","article-title":"AER: Do we need to ‘improve’ our alignments?","author":"vilar","year":"2006","journal-title":"Proc Int Workshop Spoken Lang Transl"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICSDA.2016.7918974"},{"key":"ref14","article-title":"Unsupervised cross-lingual representation learning at scale","author":"conneau","year":"2019","journal-title":"arXiv 1911 02116"},{"key":"ref15","article-title":"OpenNMT: Neural machine translation toolkit","author":"klein","year":"2018","journal-title":"arXiv 1805 11462"},{"key":"ref16","first-page":"644","article-title":"A simple, fast, and effective reparameterization of IBM model 2","author":"dyer","year":"2013","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/089120103321337421"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/1622110.1622119"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.146"},{"key":"ref28","first-page":"111","article-title":"Can automatic post-editing make MT more meaningful?","author":"parton","year":"2012","journal-title":"Proc 16th Annu Conf Eur Assoc Mach Transl (EAMT)"},{"key":"ref4","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10590-020-09252-y"},{"key":"ref3","first-page":"308","article-title":"Statistical post-editing for a statistical MT system","author":"b\u00e9chara","year":"2011","journal-title":"Proc 13th Mach Transl Summit (MT Summit)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5402"},{"key":"ref29","article-title":"SimAlign: High quality word alignments without parallel training data using static and contextualized embeddings","author":"sabet","year":"2020","journal-title":"arXiv 2004 08728"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6452"},{"key":"ref8","article-title":"Language-agnostic BERT sentence embedding","author":"feng","year":"2020","journal-title":"arXiv 2007 01852"},{"key":"ref7","first-page":"3692","article-title":"A post-editing dataset in the legal domain: Do we underestimate neural machine translation quality?","author":"ive","year":"2020","journal-title":"Proc 12th Lang Resour Eval Conf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/1626355.1626383"},{"key":"ref9","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics"},{"key":"ref1","first-page":"508","article-title":"Statistical phrase-based post-editing","author":"simard","year":"2007","journal-title":"Proc NAACL HLT"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.181"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3109903"},{"key":"ref21","article-title":"Sockeye: A toolkit for neural machine translation","author":"hieber","year":"2017","journal-title":"arXiv 1712 05690"},{"key":"ref24","first-page":"24","article-title":"ESCAPE: A large scale synthetic corpus for automatic post-editing","author":"negri","year":"2018","journal-title":"Proc 11th Int Conf Lang Resour Eval"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-2378"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3154768"},{"key":"ref25","first-page":"783","article-title":"Noising scheme for data augmentation in automatic post-editing","author":"lee","year":"2020","journal-title":"Proc 5th Conf Mach Transl"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09803022.pdf?arnumber=9803022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T20:17:46Z","timestamp":1658780266000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9803022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3185415","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}