• 한국언어정보학회지:언어와정보
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• 제14권2호
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• pp.71-84
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• 2010

The aim of this paper is to propose that a category P is encapsulated within a functional layer above the lexical layer, just like vP containing a lexical VP. As is well known, the category P has long been in the obscure domain of syntactic studies: Marantz (2001) and den Dikken (2003), for example, argue that P is a lexical category, but Emonds (1985), Grimshaw (1991), and Baker (2003), maintain that the category P is functional and is a closed category without its own intrinsic meaning. On the other hand, Zwart (2005) argues that it does have some meaning. Following the works of Svenonius (2003, 2006, 2007), and the spirit of Rizzi's (1997) split CP hypothesis, we elaborate and develop Svenonius' idea of split-pP analysis with detailed schematic representations of the novel examples in English, Korean, and Chinese in this paper. Unlike Svenonius, however, this paper incorporates KP into pP-Shell, which is a substantial simplification. Furthermore, Chinese Localizers that have long been considered as Postpositions are now under the category of Prepositions. This proposal renders an X-bar theoretic consistency over the categorical status of Chinese phrasal structures. In short, the present analysis accounts for inconsistency found in English complex preposition phrase (Quirk, et al, 1972, 1985), Chinese circumposition phrase (Ernst 1988, Liu, 2002) and Korean postposition phrase in a unified and consistent manner. Furthermore, by proposing a finer-grained phrasal architecture for the category P, the controversial status of the category subsides within this analysis.

• Journal of Korean Neurosurgical Society
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• 제47권1호
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• pp.17-25
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• 2010

Objective: The focus of this study is brain plasticity associated with semantic aspects of language function in patients with medial temporal lobe epilepsy (mTLE) Methods: Using longitudinal functional magnetic resonance imaging (fMRI), patterns of brain activation were observed in twelve left and seven right unilateral mTLE patients during a word-generation task relative to a pseudo-word reading task before and after anterior temporal section surgery. Results: No differences were observed in precentral activations in patients relative to normal controls (n = 12), and surgery did not alter the phonological-associated activations. The two mTLE patient groups showed left inferior prefrontal activations associated with semantic processing (word-generation>pseudo-word reading), as did control subjects. The amount of semantic-associated activation in the left inferior prefrontal region was negatively correlated with epilepsy duration in both patient groups. Following temporal resection, semantic-specific activations in inferior prefrontal region became more bilateral in left mTLE patients, but more left-lateralized in right mTLE patients. The longer the duration of epilepsy in the patients, the larger the increase in the left inferior prefrontal semantic-associated activation after surgery in both patient groups. Semantic activation of the intact hippocampus, which had been negatively correlated with seizure frequency, normalized after the epileptic side was removed. Conclusion: These results indicate alternation of semantic language network related to recruitment of left inferior prefrontal cortex and functional recovery of the hippocampus contralateral to the epileptogenic side, suggesting an intra- and inter-hemispheric reorganization following surgery.

• 한국콘텐츠학회논문지
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• 제16권5호
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• pp.58-67
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• 2016

후천성 뇌손상(ABI) 환자의 인지-언어 능력은 하위 영역 간 상호작용의 맥락에서 고려되어야 하는데, 특히 화용언어는 통합적 인지 처리를 관장하는 집행기능과 직결된다. 본 연구에서는 ABI 환자를 대상으로 화용언어와 집행기능 간의 상관성을 규명하고자 하였다. 이를 위해 만 55세 이상의 ABI 환자군 35명(뇌졸중에 의한 실어증 21명, TBI 14명)을 대상으로 화용언어와 집행기능 관련 5개 하위 과제를 평가하였다. 그 결과, 실어증 집단은 비유언어 이해 및 기능/상징언어가 실행화 과제와 유의한 상관성을 보였고, TBI 집단은 모든 과제 간에 유의한 상관성이 있었다. 실어증 집단의 비유언어 이해는 실행화, 그리고 TBI 집단의 비유언어 표현과 기능/상징언어는 각각 계획화와 실행화를 가장 잘 예측하는 과제였다. 본 연구를 통해 ABI 이후의 인지-언어적 중재 시 상호 보완적으로 활용할 수 있는 화용언어 및 집행기능 과제들을 제시할 수 있었다.

• 셀메드
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• 제13권14호
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• pp.20.1-20.6
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• 2023

The purpose of this study is to explore directions for achieving therapeutic and social well-being effects through intercultural citizenship education in language classrooms. To accomplish this, we first clarified the concepts of education as healing, social well-being, and intercultural citizenship education. Subsequently, through the analysis of reflective journals on the writing and peer review processes written by university students, we discovered manifestations of key concepts of intercultural citizenship, such as empathy, recognition, connection, discovery of new knowledge, and attitude change. Based on these insights, we proposed the perspective that addressing the concept of intercultural citizenship in Korean language education can be beneficial for language education as a form of healing and for social well-being. Furthermore, we suggested that future language education should evolve from instruction focused on the interpretation of symbols and functional proficiency to practices that empower learners as members of global society, allowing them to assign value to their lives and build healthy relationships with others.

• 한국컴퓨터정보학회논문지
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• 제3권1호
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• pp.25-34
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• 1998

함수 언어에서 병렬성을 표현하는 주된 기법으로는 스트릭트니스 분석과annotation이 있다. 스트릭트니스 분석은 번역기가 병렬성 탐색을 수행하여 탐색된 정보를 목적 프로그램에 표현하는 기법이며, annotation은 프로그래머에게 병렬성 탐색을 맡겨서 원시프로그램에 표현하도록 하는 기법이다. 본 연구는 annotation에 관한 것으로 annotation 구문을 가지는 원시함수 언어와 이를 위한 번역기의 전반부를 설계하고 구현하는 것을 목적으로 한다. 번역기의 전반부는 원시함수언어 프로그램을 중간 언어인 확장 람다계산 프로그래프로 번역한다 번역기는 UNIX 환경에서 컴파일러 자동화 도구인 YACC, Lex를 사용하여 C로 구현한다. 본 논문에서는 번역기에 사용된 구현기법에 대해서 기술한다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.388-391
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• 2005

The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.

• 한국정보처리학회논문지
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• 제5권9호
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• pp.2435-2446
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• 1998

본 논문에서는 함수 논리 언어를 수행할 수 있는 데이터 플로우 표현 방법을 제시하고 함수 논리 언어의 각 결과 함수를 데이터플로우 그래프로 변환하는 방법에 대해 설명한다. 실행의 효율성을 높이기 위해 AND-병렬성을 위한 종속성 분석을 서브고울과 병행 수행하여 지연시간을 줄였으며, 함수 부분의 수행을 위해 병렬 감축을 사용하였다. RAP을 도입함으로써 발생하는 지연시간을 줄이기 위해 종속성 분석과 서브 고울을 병렬로 처리함으로써 CGE+ 표현 방식에 비해 효율적임을 보였다. 지능형 퇴각 검색을 도입하여 병렬 컴퓨터에서 효율적인 수행을 할 수 있도록 하였다.

• 한국언어정보학회지:언어와정보
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• 제19권2호
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• pp.1-18
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• 2015

This paper retraces the development of Database Semantics (DBS) from its beginnings in Montague grammar. It describes the changes over the course of four decades and explains why they were seen to be necessary. DBS was designed to answer the central theoretical question for building a talking robot: How does the mechanism of natural language communication work? For doing what is requested and reporting what is going on, a talking robot requires not only language but also non-language cognition. The contents of non-language cognition are re-used as the meanings of the language surfaces. Robot-externally, DBS handles the language-based transfer of content by using nothing but modality-dependent unanalyzed external surfaces such as sound shapes or dots on paper, produced in the speak mode and recognized n the hear mode. Robot-internally, DBS reconstructs cognition by integrating linguistic notions like functor-argument and coordination, philosophical notions like concept-, pointer-, and baptism-based reference, and notions of computer science like input-output, interface, data structure, algorithm, database schema, and functional flow.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제8권1호
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• pp.31-37
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• 2004

This study explores the relations between mathematics and the natural human language. At the very outset, a general definition of language was, given while it was attempted to make some comparisons between the words of natural language and mathematical symbols at that. Besides, the occupation of natural language functions within mathematics was handled. Consequently, it was tried to manifest that the language of mathematics enjoys the features of natural language as well. Mathematics makes use of many functional and structural features. The fact that fundamental ingredient of mathematics is symbols does not change this reality.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.537-555
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• 2021

Many researchers have carried out studies related to programming languages since the beginning of computer science. Besides programming with traditional programming languages (i.e., procedural, object-oriented, functional programming language, etc.), a new paradigm of programming is being carried out. It is programming with natural language. By programming with natural language, we expect that it will free our expressiveness in contrast to programming languages which have strong constraints in syntax. This paper surveys the approaches that generate source code automatically from a natural language description. We also categorize the approaches by their forms of input and output. Finally, we analyze the current trend of approaches and suggest the future direction of this research domain to improve automatic code generation with natural language. From the analysis, we state that researchers should work on customizing language models in the domain of source code and explore better representations of source code such as embedding techniques and pre-trained models which have been proved to work well on natural language processing tasks.