• Proceedings of the Korea Concrete Institute Conference
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• 1992.10a
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• pp.240-244
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• 1992

The values of a linguistic variable are words, phrases, or sentences in a given language. For example, structural damage can be considered as linguistic variable with values such a 'severely damaged', 'moderately damaged', which are meaningful classifications but not clearly defined, This paper is to evaluate reasonably the correction factor of bridge capacity with the aid of fuzzy sets theory. By using the above mentioned fuzzy measure, the concept of fuzzy integral and linear membership function can be defined. It is concluded that the fuzzy sets theory cam be applied to determine reasonably the correction factor of bridge capacity.

• Journal of Agricultural Extension & Community Development
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• v.16 no.1
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• pp.125-152
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• 2009

The objective of this study, which applies the multiple-disciplinary approach to the developmental characteristics of children, is to study and develop a class model that can be applied to actual kindergarten classes in rural area. For this purpose, this study proposes teaching and learning methodologies for children based on English children's tales to help make the English education of children more effective and efficient. Based on the findings, the following suggestions should be considered for improving the English-education class model for kindergartners for rural areas: First, various activities based on the multiple-intelligence approach are important methods of children-oriented education advanced by the Sixth Children's Curriculum, helping children grow their independence and creativity. Second, various activities developed by this study on the basis of the multiple-intelligence approach to promote children's reading, listening, speaking, and writing abilities helped children improve their linguistic capacities, improve creativity, and remain motivated, which was reinforced by the differences found between the test group and the control group.

• Lingua Humanitatis
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• v.1 no.1
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• pp.235-251
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• 2001

According to Chomskyan grammar, humans can generate and understand an unbounded number of grammatical sentences. Against the background of pure and idealized linguistic competence, this linguistic productivity is argued and understood. In actual utterances, however, there are many limitations of productivity but they are said to come from the general constraints on performances such as capacity of short term memory or attention. In this paper I discuss a problem raised against idealized productivity. I argue that linguistic productivity idealizes our linguistic competence too much. By separating idealized competence from the various constraints of performance, Chomskyan theorists can argue for unlimited productivity. However, the absolute distinction between grammar (pure competence) and parser (actual psychological processes) makes little sense when we explain the low acceptability(intelligibility) of center embedded sentences. Usually, the problem of center embedded sentence is explained in terms of memory shortage or other performance constraints. To explain the low acceptability, however, we need to assume specialized memory structure because the low acceptability occurs only with a specific type of syntactic pattern. 1 argue that this special memory structure should not be considered as a general performance constraint. It is a domain specific (specifically linguistic) constraints and an intrinsic part of human language processing. Recent development of Chomskyan grammar, i.e., minimalist approach seems to close the gap between pure competence and this type of specialized constraints. Chomsky's earlier approach of generative grammar focuses on end result of the generative derivation. However, economy principle (of minimalist approach) focuses on actual derivational processes. By having less mathematical or less idealized grammar, we can come closer to the actual computational processes that build syntactic structure of a sentence. In this way, we can have a more concrete picture of our linguistic competence, competence that is not detached from actual computational processes.

• Speech Sciences
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• v.8 no.4
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• pp.157-168
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• 2001

The limited capacity model has been used to explain linguistic interactions and trade-offs that occur in children's speech. The purpose of the present investigation is to explore the interrelationship of MLU (as an index of syntactic development) and fluency in the spontaneous speech of normal children. Twenty normal children's (ten girls and ten boys, aged 36-48 months) spontaneous speech samples were obtained during free-play interactions with their mothers or other adults. The results indicated that the MLU of disfluent utterances were significantly longer than that of fluent utterances. Also, disfluencies occurred more frequently in longer utterances than in shorter utterances. In addition, the utterances where disfluencies occurred more than 2 times were longer than those where disfluencies occurred once. These results imply that the increase of MLU appear to affect not only the occurrence of disfluent utterances, but also the number of disfluencies within the utterances. In other' words, these findings show that there are trade-off effects between MLU and fluency. This is discussed within a limited capacity framework.

• Phonetics and Speech Sciences
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• v.11 no.4
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• pp.63-70
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• 2019

This study investigated individual variability of L2 learners' categorical judgments of L2 stops by exploring English learners' perceptual processing of two acoustic cues (voice onset time [VOT] and f0) and working memory capacity as sources of variation. As prior research has reported that English speakers' greater use of the redundant cue f0 was responsible for gradient processing of native stops, we examined whether the same processing characteristics would be observed in L2 learners' perception of Korean stops (/t/-/t^h/). 22 English learners of L2 Korean with a range of L2 proficiency participated in a visual analogue scaling task and demonstrated variable manners of judging the L2 Korean stops: Some were more gradient than others in performing the task. Correlation analysis revealed that L2 learners' categorical responses were modestly related to individuals' utilizations of a primary cue for the stop contrast (VOT for L1 English stops and f0 for L2 Korean stops), and were also related to better working memory capacity. Together, the current experimental evidence demonstrates adult L2 learners' top-down processing of stop consonants where linguistic and cognitive resources are devoted to a process of determining abstract phonemic identity.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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• pp.170-174
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• 2008

The measurement of performance of a process considering both the location and the dispersion of information about the process is referred to as the process capacity indices (PCIs) of interest, $C_{pk}$. This information is presented by the mean and standard deviation of the producing process. Linguistic variables are used to express the evaluation of the quality of a product. Consequently, $C_{pk}$ is defined with fuzzy numbers. Lee [Eur. J. Oper. Res. 129(2001) 683-688] constructed the definition of the $C_{pk}$ index estimation presented by fuzzy numbers and approximated its membership function using the "min" - norm based Zadeh's extension principle of fuzzy sets. However, Lee's result was shown to be invalid by Hong [Eur. J. Oper. Res. 158(2004) 529-532]. It is well known that $T_w$ (the weakest t-norm)-based addition and multiplication preserve the shape of L-R fuzzy numbers. In this paper, we allow that the fuzzy numbers are of L-R type. The object of the present study is to propose a new method to calculate the $C_{pk}$ index under $T_w-based$ fuzzy arithmetic operations.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.866-871
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• 1991

The multi-layer neural network possesses the desirable characteristics of parallel distributed processing and learning capacity, by which the uncertain variation of the parameters in the dynamically complex system can be handled adoptively. However the error back propagation algorithm that has been utilized popularly in the learning procedure of the mulfi-Jayer neural network has the significant limitations in the real application because of its slow convergence speed. In this paper, an approach to improve the convergence speed is proposed using the fuzzy logic that can effectively handle the uncertain and fuzzy informations by linguistic level. The effectiveness of the proposed algorithm is demonstrated by computer simulation of PUMA 560 robot manipulator.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.11
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• pp.934-940
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• 1991

The multi-layer neural network that has broadly been utilized in designing the controller of robot manipulator possesses the desirable characteristics of learning capacity, by which the uncertain variation of the dynamic parameters of robot can be handled adaptively, and parallel distributed processing that makes it possible to control on real-time. However the error back propagation algorithm that has been utilized popularly in the learning of the multi-layer neural network has the problem of its slow convergencs speed. In this paper, an approach to improve the convergence speed is proposed using fuzzy logic that can effectively handle the uncertain and fuzzy informations by linguistic level. The effectiveness of the proposed algorithm is demonstrated by computer simulation of PUMA 560 robot manipulator.

• Lingua Humanitatis
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• v.2 no.2
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• pp.5-50
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• 2002

This paper aims to illustrate and illuminate the relationship between language and its neighbor disciplines, in particular between language and literature, language and religion, and language and music. 1. Language and literature. Literature is an art of language. Therefore, linguistics, the science of language, should be able to explain how the grammar of literature elevates and ordinary language into a literary language. I illustrate poetic syntax with examples from Shelley, Coleridge, and Wordsworth. 2. Language and religion. I show how a linguistic analysis of a religious text can illuminate the background, authorship, chronology, etc., of a religious text with an example from the Book of Daniel. I also illustrate how a misanalysis of a poetic meter led to a mistranslation with an example from the Book of Psalms. 3. Language and music. First I trace an epochal event in the history of the Western music, i.e., the change of the musical style from the liturgical music of Latin in which the rhythm was created by the alternation of syllable duration into the liberated music of German in which the rhythm was generated by the alternation of lexical stress. I then illustrate a parallelism between linguistic and musical structures with several musical pieces including Gregorian chant, the 16th century music of Palestrina, the 17th century music of Schutz, the 18th century music of Mozart, and the 19th century Viennese music. Finally, the importance of text-tune (verse-melody) association is discussed with examples of mismatches in translated Korean hymns and contemporary Korean lyrical songs. In the concluding part, I speculate on some factors that are responsible for the same organizational devices in three different modes of human communication. An answer may be that all are under the same laws of mind that govern the way man perceives and organizes nature, i.e., the same cognitive abilities of man, in particular, the capacity to organize and impose structure on their respective inputs.

• Phonetics and Speech Sciences
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• v.13 no.1
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• pp.53-64
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• 2021

According to Demand and Capacity Model (DCM), external and internal environments influence the disfluency of children who stutter (CWS). This study investigated the effects of simultaneous changes in motoric and linguistic demands on CWS and children who do not stutter (CWNS). Participants were 4-6 years old CWS and CWNS. A sentence imitation task with changes in speech rate, utterance length, and sentence complexity was used to examine their effects on children's disfluency. When the utterance length changed, CWS showed more disfluency regardless of utterance length and as the speech rate changed, CWS showed more disfluency at fast speech rate than CWNS. When the utterance length and speech rate changed, at fast speech rate, CWS showed more disfluency in both utterances than CWNS. When sentence complexity changed, CWS showed more disfluency than CWNS in complex sentences. Changes in linguistic elements such as speech rate, utterance length, and sentence complexity affect disfluency in CWS, especially when they were exposed to faster, longer, and more complex sentences. This indicates that CWS are vulnerable to fast and complex speech motor control and language processing ability than CWNS. Thus, this study suggests that parents and therapists consider both the speech rate and the utterance length when talking with CWS.