• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.239-242
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• 2016

데이터베이스 기반 자동 주소번역은 입력 오류에 취약하며 범용 기계번역을 이용한 주소번역은 입력 및 번역 주소에 대한 품질 평가가 어렵다. 본 논문에서는 예측할 수 없는 입력 오류에도 대응할 수 있는 자동 주소번역 시스템을 제안한다. 제안 시스템은 n-gram 기반 검색, 미검색/오검색 분류, 번역, 신뢰도 자동평가로 구성된다. 신뢰할 수 있는 입력으로 자동 분류한 영문 국내주소를 국문으로 번역한 결과 95%이상의 정확도를 보였다.

• Journal of Korean language education
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• v.23 no.1
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• pp.183-217
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• 2012

This study explores the identity-formation of adult Korean-American intentional adoptees who studied Korean in a Korean language center in New York from 2005 to 2007. Based on participant observation in the classroom, observations of student conversations in their gatherings, and discourse analysis of conversations related to why they were studying Korean, I found that adoptees felt that their lack of knowledge of Korean had caused them to fall short of expectations of ethnic Koreans. Stereotyped as Korean (or Asian) based on their looks, they were often assumed to possess knowledge of and skills associated with Korean culture, which they of course lacked. They were motivated to study Korean (and acquaint themselves with Korean culture) in order to meet these expectations.

• 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.

• Lingua Humanitatis
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• v.1 no.1
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• pp.3-11
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• 2001

This article maintains that language not only connects the domains of objectivity and subjectivity but simultaneously occupies its own autonomous realm and creates the two domains as well. This means that the role of language in recognizing things in the universe is more important than we usually think, and that the system of language exists independently of the human thinking and objective reality. In this respect, study of language stands as a core subject in humanities, making itself a common denominator for full understanding of philosophy, theology, history, psychology, and arts.

• English Language & Literature Teaching
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• v.17 no.3
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• pp.309-326
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• 2011

This study examines the relationship between second language use outside of class and oral proficiency development. It first identifies out-of-class activities of international graduate students in the U.S. and the average time spent speaking English in those out-of-class activities. Interviews and student self-measurements of time spent speaking English each day were used to investigate the types and quantities of out-of-class activities. In addition, two sets of student oral proficiency test scores were collected. Correlation analysis is used to find out the relationship of the variables between the most salient out-of-class activities and oral proficiency gains. The findings indicate that second language use outside of class is important for international graduate students to improve their oral proficiency. This is especially true with regularized interaction such as talking at work and the average time spent speaking in English a day outside of class. This study suggests that learners of English in an ESL environment should be encouraged to take part in out-of-class activities in addition to English use in the classroom in order for them to improve their oral proficiency.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.109-115
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• 2020

We aimed to understand how English textbooks in Korea reflect English education policies for improving the English language learners' cultural ability. In order to achieve the purpose of this study, we used the method of analyzing English textbooks because English textbooks are an important tool that most specifically reflects the English policy of a country. This study analyzed middle school English textbooks currently used in Korea. We analyzed nouns/pronouns related to cultures presented in the reading section included in each unit, and compared cultural diversity and cultural identity included in English textbooks in Korea. As a result, it was found that Korea tried to introduce the diverse cultures from the world and promote Korean traditional cultures into the world. So the cultural policy of English education in Korea can be evaluated to be appropriate for cultivating Korea young learners with the cultural capabilities which are essential to be successful leaders in the globalized world.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.86-93
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• 2021

This paper aims to investigate a novel affix prevalently and productively used in social media, which is assumed to be borrowed from English into Korean loanblens. The novel affix is composed of a prefix-like and a suffix-like elements, but it seems to be distinguished from other regular combinations of a prefix and a suffix. In analyzing the affix, we attempt to highlight its peculiarities of the affix with empirical data. First, the seemingly borrowed affix does not behave like affixes found in the donor language (English) or the recipient language (Korean) from a linguistic point of view. Both languages have circumfixation rarely available in productive word-formation processes. Second, no regular assimilation rules of Korean apply to the affix boundary, which would otherwise be mandatory to such syllable contact contexts. Last but not least, the affix form has no correspondence to the donor language, and therefore it is claimed to be derived through secretion and taken as a case of pseudo-anglicisms.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.220-224
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• 2023

The main purpose of the study is to analyze the linguoculturological foundations of in-depth study of the national language. The new requirements facing a modern teacher, his training and professional qualities make it necessary to take into account the experience and latest achievements of other countries in the field of educational policy, in particular, in the field of teaching foreign languages, as well as to identify and overcome negative ones. Based on the results of the study, the key linguoculturological foundations of in-depth study of the national language were characterized.

• 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.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.25-45
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• 2007

In this article, I discuss an International Collaborative Writing Course on the Internet (ICWCI) that focused on the learning effectiveness Korean EFL students (KEFLSs) perceived to be necessary to exchange with international EFL students (IEFLSs). The course development was based on an internet-based instructional module, applying widely accepted EFL theories for modern foreign language instruction: collaborative learning, process writing, project-based learning, and integrated approaches. Data from online discussion forum, mid-of-semester and end-of-semester surveys, and final oral interviews are conducted and discussed. KEFLSs and IEFLSs were questioned about (a) changes in attitude towards computers assisted language learning (CALL); (b) effect of computer background on motivation; (c) perception of their acquired writing skills; and (d) attitude towards collaborative learning. The result of this study demonstrated that the majority of ICWCI participants said they enjoyed the course, gained fruitful confidence in English communication and computer skills, and felt that they made significant progress in writing skills. In spite of positive benefits created by the ICWCI, it was found that there were some issues that are crucial to run appropriate networked collaborative courses. This study demonstrates that participants' computer skills, basic language proficiency, and local time differences are important factors to be considered when incorporating the ICWCI as these may affect the quality of online instructional courses and students' motivation toward network based collaboration interaction.