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Predicate Raising and Complementizers
김선웅 한국생성문법학회 2007 생성문법연구 Vol.17 No.2
This paper is primarily concerned with the licensing of that-less complement clauses of nominals. In particular, the present study is purposed to answer the question why a null complementizer(NC) is not allowed with nominals while it is with verbs. In pursuit of an answer to the question the relationship between predicate raising and the presence/absence of NC is examined. This paper proposes a solution to the problem in terms of n to N (and to D) raising. The present study also deals with another interesting relationship between predicate raising and the presence/absence of NC with respect to the that-t effect and suggests that the alleged complementizer in Korean may not be a complementizer in a regular sense.
Preposition Stranding, Complementizers, and Phase Extension
김선웅 한국생성문법학회 2007 생성문법연구 Vol.17 No.3
This paper tries to explain why preposition stranding is allowed in some languages like English but not in others, by extending den Dikken's (2006) phase extension analysis to DP to PP relation. Going through a number of examples with respect to preposition stranding and its relationship with the directionality of movements involved, this paper deals with the question why preposition stranding is different from language to language as well as within a language. By applying den Dikken's (2006) phase extension analysis to preposition stranding examples, this paper supports his theory of phase extension. This paper also deals with the consequences of the proposed analysis with respect to complementizer stranding. By equating C with P (including prepositional complementizer for), a unified account becomes possible to both PP-DP relation and that of CP-TP. The phase extension analysis is also proven to be superior to Fox and Pesetsky's (2005) linearization with respect to preposition stranding.
철골모멘트골조의 연쇄붕괴저항성능에 대한 바닥슬래브의 효과에 관한 해석적 연구
김선웅,Kim, Seonwoong 한국전산구조공학회 2014 한국전산구조공학회논문집 Vol.27 No.1
본 연구에서는 2경간 합성바닥슬래브의 기여도를 반영하여 철골모멘트골조의 연쇄붕괴저항성능의 더욱 정확한 평가를 위해 사용할 수 있는 개선된 에너지기반 비선형정적 해석법을 제시하고자 한다. 이를 위해, 우선 재료적/기하학적 비선형 유한요소해석을 수행하여 2경간 합성바닥슬래브의 거동을 살펴보았다. 2경간 합성바닥슬래브의 변형형상을 이상화하여 에너지기반 해석을 위한 근사모델을 개발하였다. 제안모델은 기둥제거 시나리오하에서 2경간 합성바닥슬래브의 일방향 축인장력 및 변형에너지응답을 모델링하는데 쉽게 이용할 수 있음을 보여주고 있다. In this study, an improved energy-based nonlinear static analysis method are proposed to be used for more accurate evaluation of progressive collapse potential of steel moment frames by reflecting the contribution of a double-span floor slab. To this end, the behavior of the double-span floor slab was first investigated by performing material and geometric nonlinear finite element analysis. A simplified energy-absorbed analytical model by idealizing the deformed shape of the double-span floor slab was developed. It is shown that the proposed model can easily be utilized for modeling the axial tensile force and strain energy response of the double-span floor slab under the column-removal scenario.
김선웅 사단법인 미래융합기술연구학회 2022 아시아태평양융합연구교류논문지 Vol.8 No.8
External shocks to the stock market make investors highly aware of the risk of asset investment and lead them to expect correspondingly higher returns. As a result, risk in the market increases, causing asset prices to fall. Applying a Granger causality test to data from the COVID-19 pandemic period, this study tested whether the COVID-19 fear index is useful in predicting asset prices in the stock and cryptocurrency markets and assessed the COVID-19 fear index’s Long Short-Term Memory model-based asset price prediction performance. The Long Short-Term Memory model was developed to deal with the vanishing gradient problem that can emerge when training traditional Recurrent Neural Networks using the cell states. Using data spanning the period from early 2020 when COVID-19 began to April 2022, this study’s empirical analysis produced the following results. First, it showed significant negative correlations between the fear index and both stock and cryptocurrency prices. During the COVID-19 pandemic crisis, cryptocurrencies played the role of speculative rather than safe assets. Second, both stock and cryptocurrency prices showed significant Granger causality. Third, the impulse response function indicated that both stocks and cryptocurrencies overreacted to the shock of the COVID-19 pandemic. The degree of overreaction was stronger in the stock market. Fourth, the price prediction performance of the Long Short-Term Memory time series model using price data and the COVID-19 fear index as input variables was excellent. In particular, its forecast performance for medium- and small-sized assets was higher than for large-sized assets such as Bitcoin and large-sized KOSPI. While outbreaks of infectious diseases such as COVID-19 directly impact the economy and the stock market, this study’s results indicate that COVID-19 had less of an impact on the cryptocurrency market, which is also affected by non-economic factors.
A Note on NP/DP Parameter: Left Branch Extraction in Korean
김선웅 경희대학교 언어정보연구소 2011 언어연구 Vol.28 No.2
According to Bošković’s(2008, 2010a, 2010b) NP/DP parameter, DP languages obey the Left Branch Condition(LBC) whereas NP languages do not. English, for example obeys LBC but Serbo-Croation(SC) and Russian, which are NP languages, allow left branch extraction(LBE). Korean, which is also allegedly an NP language, however, does not allow LBE. This is unexpected to Bošković(2008, 2010a, 2010b) since his theory predicts that Korean, as an NP language, would rule in LBE examples for Korean has no LBC in effect. Faced with this problem, this paper pursues the possibility that Korean would still belong to the NP language type but the seeming violation of LBC is due to a failure to satisfy the morphological requirement that Korean adnominals need a host for morphological completion. This analysis is confirmed by the repair by deletion facts of Korean and is further expanded to explain the apparent violations of the Korean morphological requirement, which are reported in Korean right dislocation and left node raising examples.