• The Science & Technology
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• v.26 no.3 s.286
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• pp.92-95
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• 1993

최근에 남북간의 대화가 진전되어 감에 따라 과학기술분야의 교류도 머지않아 본격화될 것으로 보인다. 남북이 분단된 지 40여년이 지나는 동안 각종 언어의 이질화가 커진 것을 볼 수 있으며, 무엇보다도 학술용어의 올바른 정립은 과학기술교류의 첫번째 단계라고 하겠다. 따라서 본 난에서는 남북한과학기술용어비교표를 분야별로 연재하기로 한다.

• The Science & Technology
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• v.26 no.5 s.288
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• pp.85-87
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• 1993

최근에 남북간의 대화가 진전되어 감에 따라 과학기술분야의 교류도 머지않아 본격화될 것으로 보인다. 남북이 분단된 지 40여년이 지나는 동안 각종 언어의 이질화가 커진 것을 볼 수 있으며, 무엇보다도 학술용어의 올바른 정립은 과학기술교류의 첫번째 단계라고 하겠다. 따라서 본 난에서는 남북한과학기술용어비교표를 분야별로 연재하기로 한다.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.1-9
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• 2001

In this paper. we present a web-based object model of language resources that are distributed in different places in variable forms. Language resources organized as objects distributed over web sites can be easily utilized to produce application systems of natural language processing. So. it renders effective maintenance of overall language processing environment in that upgrading language resources can lead to the mechanical upgrading of application systems. We implemented a dictionary constructing system for Korean Language (YDK2000). This system can integrate various linguistic dictionaries and also allow to construct high quality application specific dictionaries by connecting them to natural language systems on the Internet.

• Journal of Conservation Science
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• v.36 no.6
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• pp.578-590
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• 2020

During the 1960-1970s, a group of ceramic conservation scientists and ceramic historians in South Korea came together and established their own disciplines. While the two disciplines share the same ceramics as the subjects of their research, there has been little interaction between the two as their research outputs are articulated in remarkably different languages. This paper aims to address the following questions by using a case study that focuses on the research on white porcelains centered on the project of Gyeonggi Museum and a series of studies conducted by one of the museum's project research teams. First, what are the characteristics of and differences between the explanation styles of the two disciplines that share the same research subjects of ceramics? Second, why has the communication between the two disciplines become difficult? Third, if there can be a trading zone wherein the two disciplines would be able to communicate again, what would be its epistemic conditions? The focus of this paper is the relationship between scientific data and ordinary language, which the two disciplines have shared from their inception. By analyzing the relationship, I first argue that, as the analytical techniques of conservation science have become more developed, conservation science's data have gradually lost its relevance in ceramic history, in spite of a shared common language between them; Second, I argue that by recovering the import of shared language again, the scientific data can be placed in a different practical context, providing novel interpretations that are relevant and often consequential to ceramic history.

• Proceedings of the KSLP Conference
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• 1993.12a
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• pp.14-14
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• 1993

성대 운동 장애는 신경, 근육 병변 및 추두 관절 고정 등의 원인으로 발생한다. 후두 근전도 검사는 후두 및 음성 생리, 언어 과학의 운동 기능학적 연구, 그리고 임상적으로는 신경, 근육 병변의 진단 및 예후 판정에 이용된다. 특히 양측 성대운동 장애시 이학적 검사만으로는 신경 병변 및 관절 고정의 감별 진단에 어려움이 많아 근전도 및 신경 전도 검사를 이용한 객관적 검사가 필수적으로 요구된다. (중략)

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1991.10a
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• pp.196-198
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• 1991

분산 시스팀 환경하에서 여러 다양한 구성요소사이의 상호작용과 통신을 관장하는 규칙들인 프로토콜을 설계하는데 있어서 컴퓨터 과학 및 공학 영역의 형식방법과 소프트웨어 공학기법이 적용되고 있다. 그 결과로서 새로운 영역인 프로토콜 공학(Protocol Engineering)의 중요성이 점차 대두되고 있다. 본 연구에서는 프로토콜 공학 사이클(프로토콜과 서비스 명세, 프로토콜 검정과 검증, 프로토콜 종합, 프로토콜 변환, 성능 평가, 자동 구현, 그리고 적합성 시험) 중에서 적합성시섬 즉, 적합성 시험언어인 TTCN(Tree and Tabular Combined Notation) 특성, 시험시나리오, 그리고 추상적 시험 시나리오를 수행하는 시험언어 번역기(TTCN2C)에 관해서 논하였다.

• Science of Emotion and Sensibility
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• v.3 no.1
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• pp.25-32
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• 2000

본 논문에서는 언어장애인용 문장발생장치의 통신율을 증진시키기 위한 처리방안으로 신경망을 이용하여 문장발생장치에 동사예측을 적용하는 방법을 제안하였다. 각 단어들은 구문론과 의미론에 따른 정보벡터로 표현되며, 언어처리는 전통적으로 사전을 포함하는 것과는 달리, 상태공간에서 다양한 영역으로 분류되어 개념적으로 유사한 단어는 상태공간에서의 위치를 통하여 알게 된다. 사용자가 심볼을 누르면 심볼에 해당하는 단어는 상태공간에서의 위치를 찾아가며, 신경망 학습을 통해 동사를 예측하였고 그 결과 제한된 공간 내에서 약 20% 통신율 증진을 가져올 수 있었다.

• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.315-319
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• 2016

Recurrent neural network based language models (RNN LM) have shown improved results in language model researches. The RNN LMs are limited to post processing sessions, such as the N-best rescoring step of the wFST based speech recognition. However, it has considerable vocabulary problems that require large computing powers for the LM training. In this paper, we try to find the 1st pass N-gram model using word embedding, which is the simplified deep neural network. The class based language model (LM) can be a way to approach to this issue. We have built class based vocabulary through word embedding, by combining the class LM with word N-gram LM to evaluate the performance of LMs. In addition, we propose that part-of-speech (POS) tagging based LM shows an improvement of perplexity in all types of the LM tests.

• Journal of KIISE:Software and Applications
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• v.41 no.7
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• pp.492-500
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• 2014

This paper presents the performance enhancement of automatic bilingual lexicon extraction by using refinement of pivot-context vectors under the standard pivot-based approach, which is very effective method for less-resource language pairs. In this paper, we gradually improve the performance through two different refinements of pivot-context vectors: One is to filter out unhelpful elements of the pivot-context vectors and to revise the values of the vectors through bidirectional translation probabilities estimated by Anymalign and another one is to remove non-noun elements from the original vectors. In this paper, experiments have been conducted on two different language pairs that are bi-directional Korean-Spanish and Korean-French, respectively. The experimental results have demonstrated that our method for high-frequency words shows at least 48.5% at the top 1 and up to 88.5% at the top 20 and for the low-frequency words at least 43.3% at the top 1 and up to 48.9% at the top 20.

• Korean Journal of Cognitive Science
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• v.23 no.3
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• pp.389-408
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• 2012

'Verbal overshadowing' refers to the phenomenon whereby the verbal reporting of a visual memory of a face interferes with subsequent visual recognition of that face. Schooler (2002)[1] suggested that verbalization causes a shift from a holistic/global processing orientation towards a more analytic/local processing orientation that is detrimental to face recognition. The present research investigated whether this processing shift occurs or not by assessing performance of Navon task following face recognition task, interposing verbalization between encoding stage and retrieval stage. The face recognition task showed the verbal overshadowing effect. In the Navon task, while non-verbalization group showed global precedence, verbalization group showed local precedence. This results imply that the cause of verbal overshadowing effect is a processing shift induced by verbalization.