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http://dx.doi.org/10.14404/JKSARM.2022.22.4.129

Considerations for Applying Korean Natural Language Processing Technology in Records Management  

Haklae, Kim (중앙대학교 사회과학대학 문헌정보학과)
Publication Information
Journal of Korean Society of Archives and Records Management / v.22, no.4, 2022 , pp. 129-149 More about this Journal
Abstract
Records have temporal characteristics, including the past and present; linguistic characteristics not limited to a specific language; and various types categorized in a complex way. Processing records such as text, video, and audio in the life cycle of records' creation, preservation, and utilization entails exhaustive effort and cost. Primary natural language processing (NLP) technologies, such as machine translation, document summarization, named-entity recognition, and image recognition, can be widely applied to electronic records and analog digitization. In particular, Korean deep learning-based NLP technologies effectively recognize various record types and generate record management metadata. This paper provides an overview of Korean NLP technologies and discusses considerations for applying NLP technology in records management. The process of using NLP technologies, such as machine translation and optical character recognition for digital conversion of records, is introduced as an example implemented in the Python environment. In contrast, a plan to improve environmental factors and record digitization guidelines for applying NLP technology in the records management field is proposed for utilizing NLP technology.
Keywords
Records management; Natural language processing; Artificial intelligence; Machine learning; Deep learning;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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