• Journal of Korean language education
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• v.29 no.3
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• pp.165-196
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• 2018

This study examined the language acquisition of children from Chinese families in Korea under the bilingual background of Korean and Chinese, focusing on pronunciation and vocabulary. First, in the analysis of pronunciation acquisition, children correctly realized the lenition, aspirated sound, glottalization, palatalization, nasalization, and liquidization while the realization of pronunciation rules for unfamiliar words was low. There were also errors caused when the application principles of pronunciation were not accurately understood or they were not partially acquired. Second, in the analysis of vocabulary acquisition, the acquisition of receptive vocabulary was in the order of verb, noun, and adjective while they clearly understood vocabulary used in the actual relationships with school, family, and peers. In the acquisition of productive vocabulary, they showed the 'meaning-centered principle' of learning the meaning of vocabulary first and then learning its form afterwards. The amount of study and exposure to Korean language had effects on the improvement of vocabulary. Even though this study focused on the errors and characteristics in the acquisition process of Korean pronunciation and vocabulary for children from Chinese families in Korea, it could not clearly find out which one would have greater effects on the acquisition of Korean language. However, lots of exchanges and experiences with surrounding environment and peer group had great effects on the language acquisition and language acquisition transfer of children.

• Speech Sciences
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• v.9 no.1
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• pp.111-135
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• 2002

An annotation model of a non-native speech database has been devised, wherein English is the target language and Korean is the native language. The proposed annotation model features overt transcription of predictable linguistic information in native speech by the dictionary entry and several predefined types of error specification found in native language transfer. The proposed model is, in that sense, different from other previously explored annotation models in the literature, most of which are based on native speech. The validity of the newly proposed model is revealed in its consistent annotation of 1) salient linguistic features of English, 2) contrastive linguistic features of English and Korean, 3) actual errors reported in the literature, and 4) the newly collected data in this study. The annotation method in this model adopts the widely accepted conventions, Speech Assessment Methods Phonetic Alphabet (SAMPA) and the TOnes and Break Indices (ToBI). In the proposed annotation model, SAMPA is exclusively employed for segmental transcription and ToBI for prosodic transcription. The annotation of non-native speech is used to assess speaking ability for English as Foreign Language (EFL) learners.

• English Language & Literature Teaching
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• v.13 no.2
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• pp.177-200
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• 2007

The language socialization approach states that novices are socialized into cultural norms through participating in routine, repeated interactional acts and sequences (e.g., Ochs & Schieffelin, 1984; Ochs, 1988; Schieffelin & Ochs, 1986a; 1986b; Watson-Gegeo & Gegeo, 1986). One of the cultural norms or dominant epistemological orientations in American culture is the tendency to avoid the overt display of power asymmetry in novice-expert relationship (Ochs & Schieffelin, 1984). This study examines how this cultural preference is reflected and encoded in ESL teachers' use of routine discourse patterns in corrective sequences. Eight hours of ESL classes taught by three Caucasian teachers born and educated in the U.S. were analyzed for the study. The analysis showed that the cultural tendency in question is keyed and indexed in the teacher's routine corrective discourse patterns in the form of various questioning, elicitation, and mitigation practices. Findings support that teachers' routine classroom discourse practices represent their cultural ideologies and transfer these cultural predispositions to second language learners and that they possibly socialize the learners into the target language-oriented beliefs.

• 한국가시화정보학회:학술대회논문집
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• 2004.11a
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• pp.22-25
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• 2004

The present paper investigated the correlation between acoustic pressure and heat transfer augmentation in acoustic fields. The acoustic pressure predicted by numerical work and compared with the augmentation ratio of heat transfer coefficient was experimentally measured. Also, particle image velocimetry(PIV) was used for the visualization of velocity vectors and kinetic energy distribution inside liquid region. For the numerical work, SVS programed with Fortran language and based on a coupled FE-BEM was used. Results of the present study, the acoustic pressure is increased by $60\%$ and the largest augmentation of heat transfer about $28\%$ was measured. Finally, the profiles of acoustic pressure is consistent with that of augmentation of heat transfer. It is concluded that a correlation exists between the acoustic pressure and the heat transfer augmentation.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.391-395
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• 2021

텍스트 스타일 변환은 입력 스타일(source style)로 쓰여진 텍스트의 내용(content)을 유지하며 목적 스타일(target style)의 텍스트로 변환하는 문제이다. 텍스트 스타일 변환을 시퀀스 간 변환 문제(sequence-to-sequence)로 보고 기존 기계학습 모델을 이용해 해결할 수 있지만, 모델 학습에 필요한 각 스타일에 대응되는 병렬 말뭉치를 구하기 어려운 문제점이 있다. 따라서 최근에는 비병렬 말뭉치를 이용해 텍스트 스타일 변환을 수행하는 방법들이 연구되고 있다. 이 연구들은 주로 인코더-디코더 구조의 생성 모델을 사용하기 때문에 입력 문장이 가지고 있는 내용이 누락되거나 다른 내용의 문장이 생성될 수 있는 문제점이 있다. 본 논문에서는 마스크 언어 모델(masked language model)을 이용해 입력 텍스트의 내용을 유지하면서 원하는 스타일로 변경할 수 있는 텍스트 스타일 변환 방법을 제안하고 한국어 긍정-부정, 채팅체-문어체 변환에 적용한다.

• Annual Conference on Human and Language Technology
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• 1991.10a
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• pp.44-57
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• 1991

In the transfer machine translation, transfer dictionary decides the complexity of the transfer phase and the quality of translation according to the types and precision of informations supplied in the dictionary. Using the phrasal level translated informations within the human readable dictionary, human being translates a source sentence correctly and naturally. In this paper, we propose the verb transfer dictionary in which the various informations are constructed so the machine readable format that the Korean-to-English machine translation system can utilize them. In the proposed dictionary, we first provide the criterions by which an appropriate target verb is selected in phrase-to-phrase translations without an additional semantic analysis in transfer phase. Second, we provide the concrete sentence structure of a target verb so that we can resolve the expressive gaps between two languages and reduce the complexity of the various structure transfer in word-to-word translation.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.388-391
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• 2005

The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.

• Journal of English Language & Literature
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• v.55 no.6
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• pp.1057-1085
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• 2009

This paper addresses the question of why prepositions are particularly difficult forEFL learners. The first reason for such difficulty lies in the distinction between seemingly equivalent prepositions such as to and with, as in compared to and compared with. Most monolingual learners' dictionaries regard these two phrases as virtually synonymous. Yet, the results of the corpus analysis conducted in this study indicate that there are differences between the two. A second reason why EFL learners have problems with prepositions is that there are often variations in the inputdata. For example, although from generally follows different, in American English different than is also used. On the other hand, in British English, different to is the second most commonly used construction. This type of regional variation, confirmed in the corpus findings of the present paper, causes confusion in students of English. A learner who is not accustomed to British English may be puzzled by the expression different to. Finally, L1 negative transfer is responsible for the incorrect use of expressions such as discuss about. An error of this sort is the result of interference from the learner's mother tongue. The English verb discuss is not subcategorized for a preposition, whereas the equivalent Korean verb, for example, requires a noun phrase combined with the postposition.

• Journal of Sensor Science and Technology
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• v.30 no.6
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• pp.429-435
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• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.19-27
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• 1998

The digital system is consisted of control subsystem and data subsystem. On this Thesis, after defining the hardware description languages and hardware compiler based on this, We have designed the tools which created data and state table using of register transfer algorithm. As a major language selected C and then as subtools, developed all these making use of Lex and YACC of Unix.