• 대한음성학회:학술대회논문집
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• 대한음성학회 2000년도 7월 학술대회지
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• pp.178-178
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• 2000

This paper IS concerned with adults' foreign language aquisition and intends to research the relationship between the mother tongue's phonetic system (L1) and the perception of the foreign language (L2), in this paper Polish and Korean. The questions that are to help to define the aforementioned relationship are I) how Polish perceive Korean vowels, 2) how Koreans perceive Polish vowels, and 3) how Koreans perceive Korean vowels pronounced by Poles. In order to identify L2's vowels, the listeners try to fit them into the categories of their own language (L1). On the one hand, vowels that are the same in both languages and those that are articulated where no other vowel is articulated, have the best rate of recognition. For example, /i/ in both languages is a front close vowel and in both languages there are no other front close vowels. Therefore, vowels /i/ (and /a/) have the best rate of recognition in all three experiments. On the other hand, vowels that are unfamiliar to the listeners do not seem to have the worst rate of recognition. The vowels that have the worst rate of recognition are those, that are similar, but not quite the same as those of L1. This research proves that "equivalence classification prevents L2 learners from producing similar L2 phones, but not new L2 phones, authentically" (Flege, 1987). Polish speakers can pronounce unfamiliar L2 vowels "more authentically" than those similar to L1 vowels. However, the difference is not significant and this subject requires further research (different data, more informants).

• 한국전자통신학회논문지
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• 제15권2호
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• pp.291-298
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• 2020

수화는 청각 장애인이 다른 사람들과 의사소통할 수 있도록 설계된 것이다. 그러나 수화는 충분히 대중화되어 있지 않기 때문에 청각 장애인이 수화를 통해서 일반 사람들과 원활하게 의사소통하는 것은 쉽지 않은 문제이다. 이러한 문제점에 착안하여 본 논문에서는 웨어러블 컴퓨팅 및 딥러닝 기반 미국식 수화인식 시스템을 설계하고 구현하였다. 이를 위해서 본 연구에서는 손등과 손가락에 장착되는 총 6개의 IMUs(Inertial Measurement Unit) 센서로 구성된 시스템을 구현하고 이를 이용한 실험을 수행하여 156개 특징이 수집된 데이터 추출을 통해서 총 28개 단어에 대한 미국식 수화 인식 방법을 제안하였다. 특히 LSTM (Long Short-Term Memory) 알고리즘을 사용하여 최대 99.89%의 정확도를 달성할 수 있었고 향후 청각 장애인들의 의사소통에 큰 도움이 될 것으로 예상된다.

• 영어영문학
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• 제55권1호
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• pp.129-152
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• 2009

The paper aims to prove symmetries of the left and right edges of a morphological unit through the analysis of English blends. Blends are the words derived from two existing words by snipping the middle parts out and putting the rest together, such as smog (

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권1호
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• pp.82-91
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• 2009

수화 적출은 연속된 손 동작에서 의미 있는 수화 단어를 검출 및 인식하는 것을 말한다. 수화는 손의 움직임과 모양의 변화가 다양하기 때문에 수화 문장에서 수화를 적출하는 것은 쉬운 문제가 아니다. 특히, 자연스러운 수화 문장에는 의미 있는 수화, 수화가 아닌 손동작이 무작위로 발생한다. 본 논문에서는 CRF(Conditional Random Field)에 기반한 적응적 임계치 모델을 제안한다. 제한된 모델은 수화 어휘집에 정의된 수화 손동작과 수화가 아닌 손동작을 구별하기 위한 적응적 임계치 역할을 수행한다. 또한, 수화 적출 및 인식의 성능 향상을 위해 손 모양 기반 수화 인증기, 짧은 수화 적출기, 부사인(subsign) 추론기를 제안된 시스템에 적용하였다. 실험 결과, 제안된 방법은 연속된 수화 동작 데이타에서 88%의 적출률, 사전에 적출된 수화 동작 데이타에서 94%의 인식률을 보였으며, 적응적 임계치 모델, 짧은 수화 적출기, 손 모양 기반 수화 인증기, 부사인 추론기를 사용하지 않은 CRF 모델은 연속된 수화 동작 데이터에서 74%의 적출률, 사전에 적출된 수화 동작 데이타에서 90%의 인식률을 보였다.

• 전자공학회논문지SC
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• 제44권4호통권316호
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• pp.48-54
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• 2007

손 모양은 청각장애인의 의사소통 수단인 수화에서 중용한 요소 중 하나이다. OpenGL 기반의 가상현실 공간에서 수화 동작을 표현하기 위해서는 수화 동작 데이터를 삽입하고 수정하는 편집 프로그램이 필요하다. 하지만, 기준의 수화 동작 편집기는 수화를 잘 이해하지 못하는 일반 사용자가 손 모양을 정확하게 편집하거나 표현하는데 어려움이 있다. 또한, 수화 사전에 포함되는 각 수화 단어의 데이터 수가 많기 때문에 이를 효율적으로 생성하고 저장하는 프로그램이 필요하다. 본 논문에서는 그래픽 사용자 인터페이스(GUI)를 통해 다양한 손 모양을 쉽게 편집하고 생성된 손 모양 데이터를 데이터베이스에 저장할 수 있는 손 모양 편집 프로그램을 개발하였다. 생성된 손 모양 코드는 수화 동작을 생성하기 위한 수화 단어 편집기에 연결되어 수화 데이터베이스의 전체 용량을 감소시킨다.

• 한국멀티미디어학회논문지
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• 제25권10호
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• pp.1535-1545
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• 2022

Sign language has completely different meaning depending on the direction of the hand or the change of facial expression even with the same gesture. In this respect, it is crucial to capture the spatial-temporal structure information of each movement. However, sign language translation studies based on Sign2Gloss2Text only convey comprehensive spatial-temporal information about the entire sign language movement. Consequently, detailed information (facial expression, gestures, and etc.) of each movement that is important for sign language translation is not emphasized. Accordingly, in this paper, we propose Spatial-temporal Keypoints Centered Sign2Gloss2Text Translation, named STKC-Sign2 Gloss2Text, to supplement the sequential and semantic information of keypoints which are the core of recognizing and translating sign language. STKC-Sign2Gloss2Text consists of two steps, Spatial Keypoints Embedding, which extracts 121 major keypoints from each image, and Temporal Keypoints Embedding, which emphasizes sequential information using Bi-GRU for extracted keypoints of sign language. The proposed model outperformed all Bilingual Evaluation Understudy(BLEU) scores in Development(DEV) and Testing(TEST) than Sign2Gloss2Text as the baseline, and in particular, it proved the effectiveness of the proposed methodology by achieving 23.19, an improvement of 1.87 based on TEST BLEU-4.

• 전자통신동향분석
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• 제38권6호
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• pp.1-11
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• 2023

Large language models seem promising for handling reasoning problems, but their underlying solving mechanisms remain unclear. Large language models will establish a new paradigm in artificial intelligence and the society as a whole. However, a major challenge of large language models is the massive resources required for training and operation. To address this issue, researchers are actively exploring compact large language models that retain the capabilities of large language models while notably reducing the model size. These research efforts are mainly focused on improving pretraining, instruction tuning, and alignment. On the other hand, chain-of-thought prompting is a technique aimed at enhancing the reasoning ability of large language models. It provides an answer through a series of intermediate reasoning steps when given a problem. By guiding the model through a multistep problem-solving process, chain-of-thought prompting may improve the model reasoning skills. Mathematical reasoning, which is a fundamental aspect of human intelligence, has played a crucial role in advancing large language models toward human-level performance. As a result, mathematical reasoning is being widely explored in the context of large language models. This type of research extends to various domains such as geometry problem solving, tabular mathematical reasoning, visual question answering, and other areas.

• 영어어문교육
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• 제11권4호
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• pp.121-137
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• 2005

The present study aims to examine how the roles of teacher and learners affect the repair patterns of both teacher's and learner's utterances in English as a second language (ESL) classroom discourse. The study analyzed beginning ESL classroom discourse and found that the structure of repair seems to be greatly influenced by the roles of participants in a second language classroom. The teacher's repair work was mainly characterized by self-repair. In contrast, learners' repair sequences were predominantly characterized by other-repair. More specifically, self-initiation by the learner of the trouble source was cooperatively completed by the teacher and the other learners. Other-initiated and other-completed repair was the most prevalent form in the current classroom data, which was carried out by the teacher in both modulated and unmodulated manners. When the trouble sources were mostly concerned with the learners' problems with linguistic competence and information presented in the textbook, other-repair took place in a modulated manner (i.e., recasting and prompting). On the other hand, when dealing with learners' errors with factual knowledge, other-repair was conducted in an unmodulated way (i.e., 'no' plus correction).

• 한국의류산업학회지
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• 제18권4호
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• pp.468-476
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• 2016

Recent advancements in optics technology enable us to realize fast scans of hands using two-dimensional (2D) image scanners. In this paper, we propose an automatic hand measurement system using 2D image scanners for customized glove production. To develop the automatic hand measurement system, firstly hand scanning devices has been constructed. The devices are designed to block external lights and have user interface to guide hand posture during scanning. After hands are scanned, hand contour is extracted using binary image processing, noise elimination and outline tracing. And then, 19 hand landmarks are automatically detected using an automatic hand landmark detection algorithm based on geometric feature analysis. Then, automatic hand measurement program is executed based on the automatically extracted landmarks and measurement algorithms. The automatic hand measurement algorithms have been developed for 18 hand measurements required for custom-made glove pattern making. The program has been coded using the C++ programming language. We have implemented experiments to demonstrate the validity of the system using 11 subjects (8 males, 3 females) by comparing automatic 2D scan measurements with manual measurements. The result shows that the automatic 2D scan measurements are acceptable in the customized glove making industry. Our evaluation results confirm its effectiveness and robustness.

• 한국어교육
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• 제29권1호
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• pp.85-108
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• 2018

This study pointed out the reality that many novice Korean language teachers who lack rater training are scoring the learners' writing skill. The study performed and analyzed a case where pre-service teachers were educated in order to explore the possibility of promoting rater training in a Korean language teacher training course. The pre-service teachers majoring in Korean language education at the graduate school scored TOPIK compositions and were provided feedback by the FACETS program, which were further discussed at the rater meeting. In three scoring processes, the raters scored with conscious of own rating patterns and showed positive change or over correction due to excessive consciousness. Consequentially, ongoing training can improve rating ability, and considering the fact that professional rater training is hard to progress, the method composed of FACETS analysis and rater training revealed positive effects. On the other hand, the rater training including native Korean and non-native(Chinese) speakers together showed no significant difference by mother tongue but by individual difference. This can be interpreted as a positive implication to the rating reliability of non-native speakers possessing advanced Korean language abilities. However, this must be supplemented through extended research.