{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T10:37:23Z","timestamp":1774435043296,"version":"3.50.1"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62236011"],"award-info":[{"award-number":["62236011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012456","name":"National Social Science Fund of China","doi-asserted-by":"publisher","award":["20&ZD279"],"award-info":[{"award-number":["20&ZD279"]}],"id":[{"id":"10.13039\/501100012456","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/taslp.2024.3380996","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T18:09:36Z","timestamp":1711130976000},"page":"2112-2124","source":"Crossref","is-referenced-by-count":5,"title":["Information Dropping Data Augmentation for Machine Translation Quality Estimation"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3488-6028","authenticated-orcid":false,"given":"Shuo","family":"Li","sequence":"first","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5382-1000","authenticated-orcid":false,"given":"Xiaojun","family":"Bi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5774-3428","authenticated-orcid":false,"given":"Tao","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9654-0997","authenticated-orcid":false,"given":"Zheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE, Minzu University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eacl-main.27"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10590-010-9077-2"},{"key":"ref4","first-page":"4963","article-title":"MLQE-PE: A multilingual quality estimation and post-editing dataset","volume-title":"Proc. 13th Lang. Resour. Eval. Conf.","author":"Fomicheva","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.121"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.558"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.03.001"},{"key":"ref9","article-title":"Machine translation quality estimation and the impact of data volume on performance","author":"Ly","year":"2022"},{"key":"ref10","first-page":"223","article-title":"A study of translation edit rate with targeted human annotation","volume-title":"Proc. 7th Conf. Assoc. Mach. Transl. Americas Tech. Papers.","author":"Snover","year":"2006"},{"key":"ref11","article-title":"Original or translated? On the use of parallel data for translation quality estimation","author":"Qiu","year":"2022"},{"key":"ref12","first-page":"433","article-title":"The ARPA MT evaluation methodologies: Evolution, lessons, and future approaches","volume-title":"Proc. First Conf. Assoc. Mach. Transl. Americas","author":"White","year":"1994"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2405751"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1623"},{"key":"ref15","first-page":"116","article-title":"A comparative quality evaluation of PBSMT and NMT using professional translators","volume-title":"Proc. Mach. Transl. Summit XVI Res. Track","author":"Castilho","year":"2017"},{"key":"ref16","article-title":"AID: Pushing the performance boundary of human pose estimation with information dropping augmentation","author":"Huang","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26508"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.764"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.732"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.205"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.445"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.747"},{"key":"ref23","first-page":"684","article-title":"Findings of the WMT 2021 shared task on quality estimation","volume-title":"Proc. 6th Conf. Mach. Transl.","author":"Specia","year":"2021"},{"key":"ref24","article-title":"xCOMET: Transparent machine translation evaluation through fine-grained error detection","author":"Guerreiro","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2716195"},{"key":"ref26","first-page":"5181","article-title":"QUAK: A synthetic quality estimation dataset for korean-english neural machine translation","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Eo","year":"2022"},{"key":"ref27","first-page":"1024","article-title":"Two-phase cross-lingual language model fine-tuning for machine translation quality estimation","volume-title":"Proc. Fifth Conf. Mach. Transl.","author":"Lee","year":"2020"},{"key":"ref28","first-page":"69","article-title":"Findings of the WMT 2022 shared task on quality estimation","volume-title":"Proc. 7th Conf. Mach. Transl.","author":"Zerva","year":"2022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.wmt-1.52"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.wmt-1.71"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.wmt-1.72"},{"key":"ref32","first-page":"24","article-title":"ESCAPE: A large-scale synthetic corpus for automatic post-editing","volume-title":"Proc. 11th Int. Conf. Lang. Resour. Eval.","author":"Negri","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3152001"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.50"},{"key":"ref35","first-page":"64","article-title":"Mutual relation of machine translation and quality estimation","author":"Tryhubyshyn","year":"2022"},{"key":"ref36","article-title":"Knowledge-based document classification with Shannon entropy","author":"Chan","year":"2022"},{"key":"ref37","article-title":"On extending NLP techniques from the categorical to the latent space: KL divergence, Zipfs law, and similarity search","author":"Hare","year":"2020"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.semeval-1.55"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3003864"},{"key":"ref40","article-title":"Information-theoretic evaluation of free-text rationales with conditional $\\mathcal {V}$-information","volume-title":"Proc. Workshop Trustworthy Socially Responsible Mach. Learn.","author":"Chen","year":"2022"},{"key":"ref41","first-page":"6447","article-title":"Noise-injected consistency training and entropy-constrained pseudo labeling for semi-supervised extractive summarization","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Wang","year":"2022"},{"key":"ref42","first-page":"5148","article-title":"Semantically consistent data augmentation for neural machine translation via conditional masked language model","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Cheng","year":"2022"},{"key":"ref43","first-page":"18","article-title":"Data augmentation using pre-trained transformer models","volume-title":"Proc. 2nd Workshop Life-long Learn. Spoken Lang. Syst.","author":"Kumar","year":"2020"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-22747-0_7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.502"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.442"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.120"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1633"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.53"},{"key":"ref51","article-title":"Multidimensional quality metrics: A flexible system for assessing translation quality","volume-title":"Proc. Translating Comput.","volume":"35","author":"Burchardt","year":"2013"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.45"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00296-0_5"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.192"},{"key":"ref55","first-page":"2274","article-title":"BMX: Boosting machine translation metrics with explainability","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Leiter","year":"2024"},{"key":"ref56","first-page":"11842","article-title":"Delving into deep imbalanced regression","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Yang","year":"2021"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2015.69"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1093\/oed\/2098102697"},{"key":"ref59","article-title":"Towards understanding how data augmentation works with imbalanced data","author":"Dablain","year":"2023"},{"key":"ref60","article-title":"Improving deep regression with ordinal entropy","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Zhang","year":"2023"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/10304349\/10478185.pdf?arnumber=10478185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:45:46Z","timestamp":1712691946000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10478185\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/taslp.2024.3380996","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}