Korean automatic spacing using pretrained transformer encoder and analysis-Reference-Cited by-同舟云学术

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Korean automatic spacing using pretrained transformer encoder and analysis

Published:2021-12 Issue:6 Volume:43 Page:1049-1057
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

Hwang Taewook¹^ORCID,Jung Sangkeun¹^ORCID,Roh Yoon‐Hyung²

Affiliation:

1. Computer Science & Engineering ChungNam National University Daejeon Republic of Korea

2. Language Intelligence Research Section Electronics and Telecommunications Research Institute Daejeon Republic of Korea

Funder

Institute for Information and Communications Technology Promotion

National Research Foundation of Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2020-0092

Reference22 articles.

1. A study on property and application of word spacing in Korean;Woo H.‐S.;J. North‐East Asian Cult.,2017

2. H.HwangandC.Lee Automatic Korean word spacing using deep learning in Proc. Korea Comput. Congr. (Jeju South korea) June 2016 pp. 738–740.

3. Research on joint models for Korean word spacing and POS (part‐of‐speech) tagging based on bidirectional LSTMCRF;Kim S.‐W.;J. Korean Inst. Inform. Sci. Eng.,2018

4. Joint models for Korean word spacing and POS tagging using structural SVM;Lee C.;J. KIISE Softw. Appl.,2013

5. A.Vaswaniet al. Attention is all you need in Proc. Conf. Neural Inf. Process. Syst. (NIPS 2017) (Long Beach CA USA) Dec. 2017 pp. 5998–6008.

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