{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T10:27:56Z","timestamp":1777544876918,"version":"3.51.4"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/o-cocosda46868.2019.9041202","type":"proceedings-article","created":{"date-parts":[[2020,3,20]],"date-time":"2020-03-20T04:30:36Z","timestamp":1584678636000},"page":"1-5","source":"Crossref","is-referenced-by-count":26,"title":["Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging"],"prefix":"10.1109","author":[{"given":"Binh","family":"Nguyen","sequence":"first","affiliation":[{"name":"Hanoi University of Science and Technology,Vietnam"}]},{"given":"Vu Bao Hung","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Vietnam Artificial Intelligence System,Vietnam"}]},{"given":"Hien","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Thai Nguyen University,Vietnam"}]},{"given":"Pham Ngoc","family":"Phuong","sequence":"additional","affiliation":[{"name":"Thai Nguyen University,Vietnam"}]},{"given":"The-Loc","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Hanoi University, of Mining and Geology,Vietnam"}]},{"given":"Quoc Truong","family":"Do","sequence":"additional","affiliation":[{"name":"Vietnam Artificial Intelligence System,Vietnam"}]},{"given":"Luong Chi","family":"Mai","sequence":"additional","affiliation":[{"name":"University of Science and Technology of Hanoi,Vietnam"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-4012"},{"key":"ref11","author":"bahdanau","year":"2014","journal-title":"Neural machine translation by jointly learning to align and translate"},{"key":"ref12","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":"ref13","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2016","journal-title":"arXiv preprint arXiv 1611 01578"},{"key":"ref15","article-title":"Tensor2tensor for neural machine translation","author":"vaswani","year":"2018","journal-title":"CoRR vol abs\/1803 07416"},{"key":"ref16","author":"consortium","year":"2007","journal-title":"The British National Corpus v 3 (BNC XML Edition)"},{"key":"ref17","author":"loper","year":"2002","journal-title":"NLTK The Natural Language Toolkit"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1096"},{"key":"ref3","first-page":"2145","article-title":"A survey on recent advances in named entity recognition from deep learning models","author":"yadav","year":"2018","journal-title":"Proceedings of CICLing"},{"key":"ref6","first-page":"177","article-title":"Better punctuation prediction with dynamic conditional random fields","author":"lu","year":"2010","journal-title":"Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref5","article-title":"Lstm for punctuation restoration in speech transcripts","author":"tilk","year":"2015","journal-title":"Sixteenth Annual Conference of the International Speech Communication Association"},{"key":"ref8","author":"lafferty","year":"2001","journal-title":"Conditional Random Fields Probabilistic Models for Segmenting and Labeling Sequence Data"},{"key":"ref7","first-page":"3097","article-title":"Improved models for automatic punctuation prediction for spoken and written text","author":"ueffing","year":"2013","journal-title":"InterSpeech"},{"key":"ref2","first-page":"118","article-title":"Named entity recognition: Exploring features","author":"tkachenko","year":"2012","journal-title":"Proceedings of KONVENS"},{"key":"ref1","article-title":"Segmentation and punctuation prediction in speech language translation using a monolingual translation system","author":"cho","year":"2012","journal-title":"International Workshop on Spoken Language Translation (IWSLT) 2012"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1320"}],"event":{"name":"2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","location":"Cebu, Philippines","start":{"date-parts":[[2019,10,25]]},"end":{"date-parts":[[2019,10,27]]}},"container-title":["2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9033510\/9041153\/09041202.pdf?arnumber=9041202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T18:27:23Z","timestamp":1753813643000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9041202\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/o-cocosda46868.2019.9041202","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}