• 재활복지
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• v.21 no.3
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• pp.187-207
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• 2017

The purpose of this study was to explore the characteristics of defining concrete and abstract nouns for the elderly. A total of 382 elderly participated in this study and they were classified into four age groups (i.e., over 55 to under 64, over 65 to under 74, over 75 to under 84, and over 85 year-old group). They performed the word definition task, composed of five concrete and five abstract nouns. The total scores and numbers and ratio of core/supplementary meanings were compared among four elderly groups. The frequency and ratio of error types were also examined. The results showed that all four groups had statistically significant differences in total scores, numbers and ratio of core and supplementary meaning of concrete noun definition task. In addition, abstract noun definition performances revealed group differences except the two groups (over 75 to under 84 and over 85-year-old group). The oldest group showed a sharp increase in error production. The highest ratio of error types were personal experience in over 55 to under 64-year-old group, and over 65 to under 74 year-old groups; and for the target word repetition in over 75 to under 84 year-old group; and no response in over 85 year-old group. In conclusion, both concrete and abstract word defining abilities had age-related deterioration. This decline results from impairment in spreading semantic knowledge within semantic network, which is vulnerable to aging. Characteristics of word definition for elderly can provide basic information to understand various neurolinguistic disorders associated with age.

• The Journal of the Acoustical Society of Korea
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• v.27 no.6
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• pp.303-308
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• 2008

The purpose of the present study is to investigate that word frequency has significant influence on noun definitions in Korean. The experimental group was 80 students from Elementary school, Middle school, High school and University. They rated familiarity and wrote definitions for nouns. Noun definitions were analyzed with semantic categories such as "use/purpose," "description," "association/relation," "partial explanation," "explanation," "error," "partial explanation-attribute," "partial explanation-specific class," "partial explanation-nonspecific class," "explanation-specific class," "explanation-nonspecific class." As a result, they showed familiarity for high-frequency nouns. "EXPL" categories that use class terms or critical attributes were used more frequently in definitions of high-frequency nouns compared with low-frequency nouns. They increased with age and errors decreased with age. Word frequency had a significant influence on noun definitions.

• Journal of the Korean Institute of Rural Architecture
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• v.5 no.3
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• pp.34-43
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• 2003

This study attempts to understanding of outer space elements in a rural house through an analysis nouns for function definition phase in design value engineering. To choose main check objects, this study examines requests by rural dwellers and analyze function definition in design value engineering. The rural dwellers prefers that barrier free design, outdoor working space and security of calamity. Each selected elements are classified the nouns into a main noun by analysis function definition nouns at design VE phase. The nouns are reclassified into the main nouns as a distance, a space, and a form.

• Language and Information
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• v.10 no.1
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• pp.47-69
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• 2006

Recently, there has been a surge of interests concerning the construction and utilization of a Korean thesaurus. In this paper, a semi-automatic method for generating a lexical-semantic network of Korean '-ha' verbs is presented through an analysis of the lexical definitions of these verbs. Initially, through the use of several tools that can filter out and coordinate lexical data, pairs constituting a word and a definition were prepared for treatment in a subsequent step. While inspecting the various definitions of each verb, we extracted and coordinated the head words from the sentences that constitute the definition of each word. These words are thought to be the main conceptual words that represent the sense of the current verb. Using these head words and related information, this paper shows that the creation of a thesaurus could be achieved without any difficulty in a semi-automatic fashion.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.321-323
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• 2000

국어 사전은 자연 언어 처리에서 필요로 하는 많은 정보를 구조적으로 포함하고 있으므로, 사전으로부터 다양한 언어 지식을 자동으로 획득할 수 있는 방법이 필요하다. 본 연구는 이러한 자동 지식 획득을 위한 기본적인 도구로서 국어 사전의 뜻풀이말 파서를 구현하는 것을 목적으로 한다. 이를 위해서 우선 국어 사전의 뜻풀이말을 대상으로 일정한 수준의 구문 부착 말뭉치를 구축하고, 이 말뭉치로부터 통계적인 방법에 기반하여 문법 규칙과 확률을 자동으로 추출한다. 본 연구는 이를 응용한 확률적 차트 파서를 구현하는 것이다. 그 결과 고려대 태거보다 11.61%의 정확률 향상을 보였는데, 이로써 구문 구조 정보가 품사 태깅에도 유용함을 알 수 있었다.

• Korean Journal of Cognitive Science
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• v.10 no.4
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• pp.1-10
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• 1999

A Semantic Hierarchy of Korean Nouns(SHKN) where Korean nouns are semantically and hierarchically classified is one of the most important things that can provide semantic information concerned with processing the Korean sentences. In this paper. SHKN is constructed in bottom-up method by making use of the definition of a noun in the Korean dictionary. SHKN constructed in this paper is a forest which consist of 43 trees and 2.443 non-terminal nodes and 10.347 terminal nodes. depth of which is 17. The classes of level 1. 2 of SHKN is quite different from the existing structure classified in top-down method. 2 b but the lower classes than level 2 is very objective.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.2
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• pp.172-178
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• 2015

Constructing a bilingual multi-word lexicon is confronted with many difficulties such as an absence of a commonly accepted gold-standard dataset. Besides, in fact, there is no everybody's definition of what a multi-word unit is. In considering these problems, this paper evaluates and analyzes the context vector approach which is one of a novel alignment method of constructing bilingual lexicons from parallel corpora, by comparing with one of general methods. The approach builds context vectors for both source and target single-word units from two parallel corpora. To adapt the approach to multi-word units, we identify all multi-word candidates (namely noun phrases in this work) first, and then concatenate them into single-word units. As a result, therefore, we can use the context vector approach to satisfy our need for multi-word units. In our experimental results, the context vector approach has shown stronger performance over the other approach. The contribution of the paper is analyzing the various types of errors for the experimental results. For the future works, we will study the similarity measure that not only covers a multi-word unit itself but also covers its constituents.

• Korean Journal of Cognitive Science
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• v.10 no.3
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• pp.1.1-10
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• 1999

A Semantic Hierarchy of Korean Nouns(SHKN) where Korean nouns are semantically and hierarchically classified is one of the most important things that can provide semantic information concerned with processing the Korean sentences. In this paper. SHKN is constructed in bottom-up method by making use of the definition of a noun in the Korean dictionary. SHKN constructed in this paper is a forest which consist of 43 trees and 2.443 non-terminal nodes and 10.347 terminal nodes. depth of which is 17. The classes of level 1. 2 of SHKN is quite different from the existing structure classified in top-down method. 2 b but the lower classes than level 2 is very objective.

• Journal of KIISE:Software and Applications
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• v.28 no.9
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• pp.688-698
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• 2001

A homonym could be disambiguated by anther words in the context such as nouns, predicates used with the homonym. This paper proposes a homonym disambiguation system based on statistical semantic information which is extracted from definitions in dictionary. The semantic information consists of nouns and predicates that are used with the homonym in definitions. In order to extract accurate semantic information, definitions are used with the homonym in definitions. In order to extract accurate semantic information, definitions are classified into two types. One has hyponym-hypernym relation between title word and head word (homonym) in definition. The hyponym-hypernym relation is one level semantic hierarchy and can be extended to deeper levels in order to overcome the problem of data sparseness. The other is the case that the homonym is used in the middle of definition. The system considers nouns and predicates simultaneously to disambiguate the homonym. Nine homonyms are examined in order to determine the weight of nouns and predicates which affect accrutacy of homonym disambiguation. From experiments using training corpus(definitions in dictionary), the average accruracy of homonym disamguation is 96.11% when the weight is 0.9 and 0.1 for noun and verb respectively. And another experiment to meaure the generality of the homonym disambiguation system results in the 80.73% average accuracy to 1,796 untraining sentences from Korean Information Base I and ETRI corpus.