• Proceedings of the Korean Society for Language and Information Conference
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• 1998.02a
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• pp.195-205
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• 1998

• Journal of The Korean Association For Science Education
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• v.29 no.1
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• pp.116-136
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• 2009

Since there are differences in the content, structure and functions of interpersonal communication during the practice of school science classes, it needs to articulate the difference of the modality of pedagogical practice in order to understand science teaching in detail. These characteristics of science teaching can be investigated by further insightful analysis on language in the science classroom. In this study, classroom discourse language codes using Bernstein's code theory were analyzed in the case of a middle school science class on the unit of minerals. The discourse language code was identified by the value of classification, which revealed power relations to the contexts of discourse and participants of discourse. It was also identified by the value of framing, which showed hierarchical relation between teacher and students as discourse subjects, and discursive control on the initiative of discourse. The results addressed that six types of discourse language codes were constructed and that those language codes reflected diverse modalities of science teaching from student-centered instruction to teacher-centered instruction in relation to classroom discourse. The modality of science teaching according to the transition tendencies of discourse language code showed dynamic variations of 'controlled student-centeredness inducing teaching' - 'positional student-centeredness permissive teaching' - 'controlled students' participation permissive teaching' - 'controlled student-centeredness facilitative teaching' - 'student-centeredness enhancing teaching'. In addition, results released that discursively and hierarchically weak control of discourse is necessary for enhancing student-centeredness of science teaching. Moreover, teaching practice enhancing student-centeredness can be accomplished by the harmony of a teacher's perception of discourse language code and his/her orientation to constructivist teaching and student-centered teaching.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.211-223
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• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.

• Proceedings of the Korean Society for Language and Information Conference
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• 1996.02a
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• pp.383-392
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• 1996

• KNOM Review
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• v.24 no.2
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• pp.35-47
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• 2021

Various stress exists in a modern society, which requires constant competition and improvement. A person under stress often shows his pressure in his facial expression and language. Therefore, it is possible to measure the pressure using facial expression and language analysis. The paper proposes a stress measurement system using facial expression and language sensitivity analysis. The method analyzes the person's facial expression and language sensibility to derive the stress index based on the main emotional value and derives the integrated stress index based on the consistency of facial expression and language. The quantification and generalization of stress measurement enables many researchers to evaluate the stress index objectively in general.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.59-64
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• 1997

복합명사로부터 적절한 색인어를 추출하는 것은 한국어 정보검색 시스템의 성능 향상에 중요한 역할을 한다. 본 논문에서는 복합명사로부터 색인어 추출을 하기 위해 복합명사 구문 구조 분석 결과를 활용한다. 단일명사가 3개 이상 결합된 복합명사의 경우 각 단일명사의 구문적 관계를 파악하여 적절한 괄호치기를 한 후 색인어를 추출하면 보다 좋은 결과를 얻을 수 있다. 이러한 복합명사 구문 구조 분석을 위해 말뭉치로부터 구조적 중의성이 없는 연어 관계의 완전 복합명사와, 서술성 명사와 공기하는 명사쌍을 추출한 결과를 이용한다. 또한 서술성 명사는 이와 공기하는 명사와 결합되어 복합명사를 이를 가능성이 많고, 복합명사의 형태로 인식되어야만 정확한 의미 파악이 가능하다. 서술성 명사와 공기하는 명사를 파악하여 복합명사를 추출하기 위해서 부분 파서로 공기쌍을 찾아 복합명사 후보를 생성한 후, 이 후보 가운데 적합한 복합명사만을 선택하기 위해 말뭉치에서 추출한 완전 복합명사 사전을 통해 검증한다. 이러한 방법으로 서술성 명사에서 복합명사 형태의 색인어를 추출한다.

• Nuclear Engineering and Technology
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• v.36 no.4
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• pp.295-303
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• 2004

Software inspection is widely believed to be an effective method for software verification and validation (V&V). However, software inspection is labor-intensive and, since it uses little technology, software inspection is viewed upon as unsuitable for a more technology-oriented development environment. Nevertheless, software inspection is gaining in popularity. KAIST Nuclear I&C and Information Engineering Laboratory (NICIEL) has developed software management and inspection support tools, collectively named "SIS-RT. "SIS-RT is designed to partially automate the software inspection processes. SIS-RT supports the analyses of traceability between a given set of specification documents. To make SIS-RT compatible for documents written in Korean, certain techniques in natural language processing have been studied [9]. Among the techniques considered, case grammar is most suitable for analyses of the Korean language [3]. In this paper, we propose a methodology that uses a case grammar approach to analyze the traceability between documents written in Korean. A discussion regarding some examples of such an analysis will follow.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.569-571
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• 2020

시맨틱 파싱은 주어진 자연어 발화를 domain specific language(DSL)를 따르는 프로그램으로 변환하는 방법이다. 시맨틱 파서가 다형성을 가지는 DSL을 사용할 경우, 적은 수의 토큰으로 다양한 프로그램을 출력할 수 있지만, 탐색 공간이 넓어진다는 문제가 있다. 본 연구에서는 해당 문제를 완화하기 위해 다형성을 가지는 DSL의 타입 시그니처를 제한하는 방법을 제안한다. 해당 방법은 sequence-to-sequence 기반의 시맨틱 파싱 성능을 향상시키는데 효율적임을 보였다.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.101-112
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• 2024

Telugu language is considered as fourth most used language in India especially in the regions of Andhra Pradesh, Telangana, Karnataka etc. In international recognized countries also, Telugu is widely growing spoken language. This language comprises of different dependent and independent vowels, consonants and digits. In this aspect, the enhancement of Telugu Handwritten Character Recognition (HCR) has not been propagated. HCR is a neural network technique of converting a documented image to edited text one which can be used for many other applications. This reduces time and effort without starting over from the beginning every time. In this work, a Unicode based Handwritten Character Recognition(U-HCR) is developed for translating the handwritten Telugu characters into English language. With the use of Centre of Gravity (CG) in our model we can easily divide a compound character into individual character with the help of Unicode values. For training this model, we have used both online and offline Telugu character datasets. To extract the features in the scanned image we used convolutional neural network along with Machine Learning classifiers like Random Forest and Support Vector Machine. Stochastic Gradient Descent (SGD), Root Mean Square Propagation (RMS-P) and Adaptative Moment Estimation (ADAM)optimizers are used in this work to enhance the performance of U-HCR and to reduce the loss function value. This loss value reduction can be possible with optimizers by using CNN. In both online and offline datasets, proposed model showed promising results by maintaining the accuracies with 90.28% for SGD, 96.97% for RMS-P and 93.57% for ADAM respectively.

• Proceedings of the Korean Society for Language and Information Conference
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• 1996.02a
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• pp.357-362
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• 1996