• Lingua Humanitatis
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• v.1 no.1
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• pp.295-321
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• 2001

This paper attempts to demonstrate how the linguistic and mythological features of the shamanic language make it incantatory, or ′enchanting′. Passages used in shamanic rites manifest linguistic characteristics that point to their own norms and conventions, as well as some mythological features that contribute to the undecipherablity of the shamanic language. Focusing on the estranged linguistic and mythological features, I propose that shamanic languages can be best interpreted in terms of the linguistic hierarchization, a notion that has been developed since Roman Jakobson′s poetics. The present study adopts Eisele′s framework that reinterprets Jakobsonian hierarchization into a slightly revised notion on the basis of the "degree of combinatorial freedom" and the "degree of semantic immediacy", looking into a set of paradigm examples in search of some parallel structures characterizing the shamanic language. The enchanting effect of this peculiar form of language, it is argued, is due mostly to the frequent use of lexical parallelism, which works in the reverse direction of the normal process of interpretation.

• Journal of the Korea Society of Computer and Information
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• v.23 no.5
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• pp.1-7
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• 2018

Reference string recognition is to extract individual reference strings from a reference section of an academic article, which consists of a sequence of reference lines. This task has been attacked by heuristic-based, clustering-based, classification-based approaches, exploiting lexical and layout characteristics of reference lines. Most classification-based methods have used sequence labeling to assign labels to either a sequence of tokens within reference lines, or a sequence of reference lines. Unlike the previous token-level sequence labeling approach, this study attempts to assign different labels to the beginning, intermediate and terminating tokens of a reference string. After that, post-processing is applied to identify reference strings by predicting their beginning and/or terminating tokens. Experimental evaluation using English and German reference string recognition datasets shows that the proposed method obtains above 94% in the macro-averaged F1.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.109-127
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• 2007

As an attempt to investigate the use of common verbs by a small group of Korean college students at the advanced level, the present study describes the students' speech production data collected from picture description tasks. The primary focus of the data description was how the students used high-frequency verbs in describing everyday activities. Out of total 442 units, 149 verbs were erroneously used. All erroneous utterances were classified into four categories according to their characteristics. The most prominent error type was overgeneralization due to incomplete knowledge of lexical items. Results showed that verbs used in everyday life were not easy even for the advanced level students. Although in some cases, L1 influence was discerned, the students' problems are more fundamental. In particular, the data revealed lack of knowledge of collocational possibilities and restrictions, and confusion about semantic boundaries between verbs which have similar semantic areas. The findings suggest that teaching at the advanced level should take contrastive approaches intralingually as well as interlingually to the high-frequency verbs.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.137-140
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• 2005

In this study we investigated the cognitive neuropsychological characteristics and the underlying mechanism in a letter-by-letter reading dyslexic patient after cerebral infarct of left posterior cerebral artery using fMRl, The results of cognitive neuropsychological assesment are visual perception was appropriate, and semantic categorization, picture naming and picture-word matching tasks were above83% correct, respectively. However, she was very poor in lexical decision task. The selective reading impairment is thought to result from the disruption of the left occipitotemporal region included fusiform gyrus. In fMRl results, the activation level increase din the right occipitotemporal region included fusiform gyrus compared with normal group in compensation for left impairment and more increased in pseudo word reading task than word reading on account of familiarity.

• Language and Information
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• v.7 no.2
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• pp.117-137
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• 2003

This paper attempts to provide an alternative analysis involving categorical issues related to English gerunds. Especially, this paper rejects Maulof's approach that creates a new syntactic category gerund by mixing nominal and verbal categories. This paper identifies two syntactic structures in English gerunds: nominal gerunds and verbal gerunds. This distinction is based on syntactic and semantic characteristics of each type and is intended to account for the external distribution and endocentricity of the construction. Treating verbal gerunds syntactically as verbal categories, this paper proposes that English verbal gerunds act like other verbal categories such as infinitives whereas nominal gerunds behaves much like derived nominals. This paper proposes a few lexical rules that can take care of the two types of gerunds. The proposal can be extended to prepositional complements as well as sentential subject positions. This proposal not only resolves the issues involving distributional properties of the gerund construction but also captures syntactic parallelism observable between gerunds and other verbal constructions in English.

• Journal of the Korean Institute of Telematics and Electronics
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• v.23 no.3
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• pp.327-339
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• 1986

In this paper, a hardware compiler for symbolic description language(SDL) is proposed for logic design automation. Lexical analysis is performed for SDL which describes the behavioral characteristics of a digital system at the register transfer level by the proposed algorithm I. The algorithm I is proposed to get the expressions for the control unit and for the data transfer unit. In order to obtain the network description language(NDL) expressions equivalent to gate-level logic circuits, another algorithm, the the algorithm II, is proposed. Syntax analysis for the data formed by the algorithm I is also Performed using circuit elements such as D Flip-Flop, 2-input AND, OR, and NOT gates. This SDL hardware compiler is implemented in the programming language C(VAX-11/750(UNIX)), and its efficiency is shown by experiments with logic design examples.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.2
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• pp.21-39
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• 2010

The purpose of this study is to develop a creative technique in fashion illustration through analyzing expressive characteristics of $d{\acute{e}}paysement$. This study is analyzed by examining the general theories of $d{\acute{e}}paysement$ and investigating the expressive technique related to the method of $d{\acute{e}}paysement$ in surrealism art and the expressive characteristics which is applied to fashion illustration. In this study, the researcher examines cases of the application of $d{\acute{e}}paysement$ to the fashion illustration through reviewing fashion illustrators' art works created since 2000. $D{\acute{e}}paysement$ is unfamiliar impression with lexical meaning in french that is translated by transposition or displacement technique, or country and one's home leave or person put in strange living environment. The characteristics of $d{\acute{e}}paysement$ in fashion illustration include spatial distortion, combination of heterogeneous objects located anywhere odd and modification and conversion of objects such as material change, change-over of scale in usual objects and conversion of inanimate objects into organism. As a result of reviewing the expressive characteristics of Depaysement from fashion illustration artworks, it is found that the fashion illustration with $d{\acute{e}}paysement$ fortified the individuality in fashion illustration and helps produce a creative inspiration which results in a distinctive ideas. This also has a greate possibilities to produce a tremendous ideas in fashion illustration.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.37-47
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• 2010

Along with language, emotion is an effective means of expression. By expressing our emotions as well as speaking language, we can deliver our message better. Because each person expresses the same emotion differently, this expression is a useful gauge to measure an individual personality. To avoid monotonous emotional expression from virtual characters, therefore, it is necessary to adjust the creation and deletion of the same emotion depending on each character's personality. This paper has attempted to define personality characteristics that have an impact on each emotion and propose a method to adjust the emotions. Furthermore, the relationship between particular emotion and personality characteristics has been defined by matching the significance of specified personality characteristics with the lexical meaning. In addition, using the Raw Score, the weighted value which is necessary for the adjustment, continuance and deletion of each emotion has been defined. Then, emotion was properly adjusted. When the same emotion was adjusted using actual personality test data, different results have been observed by personality. This paper has been conducted using NEO Personality Inventory (NEO-PI) which consisted of 5 broad domains and 30 sub domains.

• Fashion & Textile Research Journal
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• v.20 no.1
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• pp.1-9
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• 2018

This study has its purpose in classifying the ways in which transparent materials appear in clothes creating a sample garment on this basis, and studying the formative characteristics of human body expression through materials. The study methods for this study are: first, related documents and precedent theses were researched. Second, the expression methods of transparent materials shown in the clothes collection were classified through objective research. Transparent refers to the lexical definition of being see-through, and the transparency of materials arises from the chemical components and physical characteristics of its raw materials. Transparent materials have been applied to clothes and expressed in diverse ways, revealing the beauty of the human body. Such expression methods of transparent materials are classified by the 'degree of transparency', 'presence of patterns', and 'range of use'. In clothes, transparent materials are depicted through 'revealing' which exposes the body, 'making seemingly lighter' which makes the body livelier, and 'overlapping' which overlaps the body with the structure and patterns of the material. Furthermore, transparent materials express the human body through having the beholder 'peep' into other parts of the body, 'imagine' areas which are covered by looking at the areas which are exposed, and through 'blurring' the boundaries or the shape of the human body, depending on the degree of transparency. As such, the study of the expression methods of transparent materials and human expression has its importance in that it explores the expression methods of materials and formative characteristics of human body expression through these methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1698-1711
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• 2011

Knowledge is often represented as a set of rules or a semantic network in intelligent systems. Recently, ontology has been widely used to represent semantic knowledge, because it organizes thesaurus and hierarchal information between concepts in a particular domain. However, it is not easy to collect semantic relationships among concepts. Much time and expense are incurred in ontology construction. Collective intelligence can be a good alternative approach to solve these problems. In this paper, we propose a collective intelligence approach of Games With A Purpose (GWAP) to collect various semantic resources, such as words and word-senses. We detail how to construct the semantic information model or ontology from the collected semantic resources, constructing a system named FunWords. FunWords is a Korean lexical-based semantic resource collection tool. Experiments demonstrated the resources were grouped as common nouns, abstract nouns, adjective and neologism. Finally, we analyzed their characteristics, acquiring the semantic relationships noted above. Common nouns, with structural semantic relationships, such as hypernym and hyponym, are highlighted. Abstract nouns, with descriptive and characteristic semantic relationships, such as synonym and antonym are underlined. Adjectives, with such semantic relationships, as description and status, illustration - for example, color and sound - are expressed more. Last, neologism, with the semantic relationships, such as description and characteristics, are emphasized. Weighting the semantic relationships with these characteristics can help reduce time and cost, because it need not consider unnecessary or slightly related factors. This can improve the expressive power, such as readability, concentrating on the weighted characteristics. Our proposal to collect semantic resources from the collective intelligence approach of GWAP (our FunWords) and to weight their semantic relationship can help construct the semantic information model or ontology would be a more effective and expressive alternative.