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송상헌 ( Sang Houn Song ),최재웅 ( Jae Woong Choe ) 한국외국어대학교 언어연구소 2012 언어와 언어학 Vol.0 No.54
This paper discusses an automatic way to derive a type hierarchy for verbal items in Korean based on their subcategorization. There are three steps: First, all the dependent categories of the each verb are extracted from the Sejong Treebank. Second, based on the frequency of the dependent categories of each verb, the most stable subcategorization frames are selected, and two statistical measures are tested with some variations in their cutoff values. The resulting subcategorization frames are then compared with those from the Sejong Electronic dictionary for evaluation. The final step is to form a type hierarchy for Korean verbal items, based on the chosen subcategorization information.
딥러닝 기법을 활용한 북한의 대외인식 분석 연구 - 『로동신문』(2016-2019) 빅데이터를 중심으로 -
이형종 ( Lee Hyung Jong ),이규민 ( Lee Gyu Min ),유석훈 ( You Seok Hoon ),송상헌 ( Song Sang Houn ) 동국대학교 북한학연구소 2021 북한학연구 Vol.17 No.2
This article analyzed the changes in North Korea’s internal and external perceptions using the deep learning-based analysis about Rodong Sinmun from 2016 to 2019. Even if the growing peace mood that had stayed for a while on the Korean Peninsula now disappeared, the change in North Korea’s attitude over a short period of time was very unusual. It was attempted to provide a more detailed understanding about the possibility of future changes in North Korea by tracking changes in North Korea’s perceptions of South Korea and its perceptions of peace and threats. As a result, the main threat was the US for North Korea’s perspective, and it was also confirmed that South Korea could be perceived as a threat by insulting on the dignity of the supreme leader-Kim Jongeun. The fact whether South Korea’s governments consist of progressive or conservative party doesn’t seem to have significant impacts on North Korea’s perception. Expectations for improvement in inter-Korean relations in 2018 are highly likely to have been perceived by North Korea as an escape from the crisis through the ease of economic sanctions. The reason is that North Korea’s perception about the threat has returned to the same level as before after the severance of US-DPRK dialogue, and it could be revealed by ordering slogans for domestic economic development. This study applied the machine learning technique to the full text of the Rodong Sinmun for 4 years, confirming the changes in the main vocabulary of the Rodong Sinmun.