• 말소리와 음성과학
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• 제6권3호
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• pp.91-99
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• 2014

Although it is well documented that patients with cochlear implant experience hearing difficulties when processing their first language, very little is known whether or not and to what extent cochlear implant patients recognize segments in a second language. This preliminary study examines how Korean learners of English identify English segments in a normal hearing and cochlear implant simulation conditions. Participants heard English vowels and consonants in the following three conditions: normal hearing condition, 12-channel noise vocoding with 0mm spectral shift, and 12-channel noise vocoding with 3mm spectral shift. Results confirmed that nonnative listeners could also retrieve spectral information from vocoded speech signal, as they recognized vowel features fairly accurately despite the vocoding. In contrast, the intelligibility of manner and place features of consonants was significantly decreased by vocoding. In addition, we found that spectral shift affected listeners' vowel recognition, probably because information regarding F1 is diminished by spectral shifting. Results suggest that patients with cochlear implant and normal hearing second language learners would experience different patterns of listening errors when processing their second language(s).

• 영어영문학
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• 제53권2호
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• pp.335-357
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• 2007

This study aims to investigate the pragmatic features of Korean EFL learners' interlanguage in the communicative act of complaining. Since a complaint, by its nature, is likely to cause offence, thereby threatening the social relationship between the speaker and the hearer, making a complaint in a polite manner is of crucial importance in maintaining harmonious social relationships. However, very little research has been carried out on the complaint speech act performances of Korean EFL learners. In particular, studies which attempt to examine the effect of social status on the choice of complaint speech act strategies are rare. The present study compared the complaint speech act performances of Korean EFL learners and those of native speakers of English with respect to social status. 24 Korean EFL learners and 28 native speakers of English participated and the data were collected via a Discourse Completion Test. The findings revealed that Korean EFL learners differed from native English speakers in the use of complaint strategies. These results indicate that Korean EFL learners lack certain important skills necessary to make complaints appropriately, suggesting the need for the foreign language learners to develop a more extensive pragmatic knowledge of complaint strategies.

• 대한전자공학회논문지
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• 제14권6호
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• pp.6-9
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• 1977

범용의 컴퓨터언어틀 정의하고 이 언어의 수행에 적합한 컴퓨터 architecture를 계시하였다. 이 architecture는 마이크로프로그램기법을 이용하며 이의 특징은 마이크로모듈 swapping의 필요성을 줄이므로서 이에 소용되는 시간을 절약할 수 있는 점과, 원하는 마이코로모듈이 제어 기억장치에 부재시에도 프로그램 수행이 가능한 점이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.264-269
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• 1993

In this paper, we develop the basic robot commands on the level of VAL robot language and the integrated environment software of the robot management system to give users an easy way of programming and running the robot. The developed software is designed to support Korean language and to be run by the pop-up menus for programming commands and inputs. Geometrical and dynamical features can be viewed on a computer monitor by graphics and the taught works can be interfaced with a computer and controllers.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.195-200
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• 2023

The main purpose of the article is to study the peculiarities of the work of the Ukrainian language in the upper grades of the lyceum based on the activity approach. Despite the fact that a number of scientific studies and applied developments on teaching Ukrainian as a foreign language have recently appeared in Ukrainian linguistics, significant problems in this area should be recognized (organization of the educational process when learning a language as a foreign language, general methodological principles, psycho- and sociolinguistic foundations, communicative approaches), the non-resolution of which leads to methodologically unreasonable teaching of the Ukrainian language as a foreign language, the use of methods of teaching the language as a native language or the study of the language as a subject (linguistic aspect). In addition, due attention is not paid to the development of communication skills, which, firstly, worsens the quality of teaching and learning. Based on the results of the analysis, the key aspects of the work on the Ukrainian language in the senior classes of the lyceum were analyzed on the basis of an activity approach.

• 음성과학
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• 제7권3호
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• pp.69-85
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• 2000

Recently, Computer Assisted Language Learning (CALL) received widely held attention from diverse audiences. However, to the author's knowledge, relatively little attention was paid to the educational implications of voice recognition (VR) softwares in language teaching in general, and teaching and learning pronunciation in particular. This study explores, and extends the applicability of VR softwares toward second language research areas addressing how VR softwares might facilitate interview data entering processes. To aid the readers' understanding in this field, the background of classroom interaction research, and the rationale of why interview data, therefore the role of VR softwares, becomes critical in this realm of inquiry will be discussed. VR softwares' development and a brief report on the features of up-to-date VR softwares will be sketched. Finally, suggestions for future studies investigating the impact of VR softwares on second language learning, teaching, and research will be offered.

• 한국어교육
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• 제25권1호
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• pp.235-265
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• 2014

This study is for looking into distinguishing features in child KSL learners' early literacy development. For these, the writings, recording data of dialogue, and observational journals of KSL child learners was collected regularly and the data were analysed. As results, KSL child learners showed lots of writing errors due to difficulty in phonological awareness or letter awareness of Korean language. And they seemed to develop the competence of connecting letters and meanings prior to developing the competence of connecting letters and sounds. Three KSL child learners showed great individual differences in development rate, and it is supposed to be mainly caused from differences of literacy development in their mother tongue, or quantity and quality in exposure for Korean language.

• 한국정보처리학회논문지
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• 제6권3호
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• pp.603-614
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• 1999

As multimedia application services on high-speed information network have been rapidly developed, the need for the video information management system that provides an efficient way for users to retrieve video data is growing. In this paper, we propose a video data model that integrates free annotations, image features, and spatial-temporal features for video purpose of improving content-based retrieval of video data. The proposed video data model can act as a generic video data model for multimedia applications, and support free annotations, image features, spatial-temporal features, and structure information of video data within the same framework. We also propose the video query language for efficiently providing query specification to access video clips in the video data. It can formalize various kinds of queries based on the video contents. Finally we design and implement the query processing engine for efficient video data retrieval on the proposed metadata model and the proposed video query language.

• 한국컴퓨터정보학회논문지
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• 제23권3호
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• pp.55-62
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• 2018

In this paper, we propose a model to detect crowdfunding scams, which have been reportedly occurring over the last several years, based on their project information and linguistic features. To this end, we first collect and analyze crowdfunding scam projects, and then reveal which specific project-related information and linguistic features are particularly useful in distinguishing scam projects from non-scams. Our proposed model built with the selected features and Random Forest machine learning algorithm can successfully detect scam campaigns with 84.46% accuracy.

• 대한예방한의학회지
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• 제17권2호
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• pp.179-187
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• 2013

Objectives : In many cases, patient's symptoms have been recorded on EMR in natural language instead of medical terminologies. It is possible to build a database by analyzing the symptoms of Korean Medicine(KM) that indicates patient's symptoms in natural language. Using the database, when doctors record patient's symptoms on EMR in natural language, conversely it'll be also possible to extract the symptoms of KM from those natural language. The database will enhance the value of EMR as a medical data. Methods : In this study, we aimed to make data structure of the terminologies that represent the symptoms of KM. The data structure is combinations of smallest unit in natural language. We made the database by analyzing morpheme of the natural language to express the symptoms of KM. Results & Conclusions : By classifying the natural language in 15 features, we made the structure of concept and the data available for morphological analysis.