• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.69-72
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• 2012

본 논문은 한국어 서답형(단어, 구 수준) 문항 유형을 분석하고 실제 채점자가 채점 기준표를 보고 채점하는 방법을 컴퓨터가 인식할 수 있도록 정답 템플릿을 설계 및 개념 정의를 하여 한국어 서답형에 특화된 자동채점 시스템 방법을 제시한다. 본 시스템을 사용하여 1000개의 학생 답안지에 대한 유형 가지수 500개 이하의 2011년도 학업성취도 평가 과학 6개 문항에 대하여 채점 기준표 내용을 정답 템플릿으로 작성한 뒤 250개 학생 답안을 학습데이터로, 정답 템플릿을 업데이트로 사용, 750개 학생 답안에 대하여 자동채점한 결과, 평균 카파계수 0.84라는 수치로서 실제 사람 채점 결과와 거의 완벽히 일치라는 결과를 얻었다.

• The Journal of the Acoustical Society of Korea
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• v.23 no.3
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• pp.248-252
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• 2004

Cultural, social, economic and other various environmental factors affect our language and different words and terminology are used and coined for different contexts, resulting in quantitative change of vocabulary. This paper presents an automatic pronunciation generator using selection procedure for exceptional pronunciation words from added text corpus, which reflects this dynamic nature of language. For our experiment, we used the text corpus released by ETRI for speech recognition. consisting or 53,750 sentences (740.497 Eojols), and obtained a 100% performance level of the proposed automatic pronunciation generator.

• The Journal of the Acoustical Society of Korea
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• v.20 no.3
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• pp.70-75
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• 2001

This paper proposes a syllabic segmentation method for the korean continuous speech. This method are formed three major steps as follows. (1) labeling the vowel, consonants, silence units and forming the Token the sequence of speech data using the segmental parameter in the time domain, pitch, energy, ZCR and PVR. (2) scanning the Token in the structure of korean syllable using the parser designed by the finite state automata, and (3) re-segmenting the syllable parts witch have two or more syllables using the pseudo-syllable nucleus information. Experimental results for the capability evaluation toward the proposed method regarding to the continuous words and sentence units are 73.5％, 85.9％, respectively.

• Hwankyungkyoyuk
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• v.25 no.2
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• pp.161-179
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• 2012

The aims of this study are to investigate the environmental perception of elementary school students through picture drawing and associated words about environment, and analyze whether there are differences in the environmental perception according to living places and grades. The drawing of 230 students are analysed and categorized into the criteria. The results are as follows: a number of students realized as images associated with natural environment for words related to environment. In the pictures of the 'positive environment', expression frequencies of natural environment and living things were higher than ones of artificial environment and non-living things. On the other hand, there were many pictures expressed as pollutions of waste, air and water in the pictures of the 'negative environment'. Comparison of environmental perception between rural and urban students showed a significant difference all in the two criteria. There was, however, no difference in the environmental perception between grades. Therefore, it is suggested that student's minds about the sentimental situation can be studied and they can be guided in positive directions to lead their future life in environment-friendly education rather than pollution education.

• Journal of Nutrition and Health
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• v.40 no.sup
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• pp.50-65
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• 2007

감미료는 감각을 만족시키는 기능을 가지며, 에너지를 공급하는 영양적 감미료와 에너지를 공급하지 않는 비 영양적 감미료로 분류 될 수 있다. 영양적 감미료들은(설탕, 과당 등) 미국 식약청에서는 일반적으로 안전하다고 인식(generally recognized as safe, GRAS) 되고 있다. 그러나 감미료 섭취는 적절한 영양섭취와 건강과 관련하여 아직 많은 우려를 가지고 있다. 첨가당으로부터의 에너지 섭취가 총 에너지 섭취의 25% 이상이면 식사의 질(quality)이 낮아진다. 지난 수 십 년 간, 당 섭취가 행동적인 면에 부정적으로 작용한다는 많은 이론들이 대두되었다. 그러나 포도당은 뇌의 주요 에너지원이다. 포도당의 기억력 향상기능은 모든 연령에서 보고되었으며, 특히 젊은 층보다는 노인에서 더 효과적이었다. 특히 적당량으로 섭취하였을 때 포도당의 섭취는 단어기억, 이야기 기억, 24시간 전에 학습한 정보에 대한 기억, 경계(vigilance)의 향상, 반응시간의 단축, 정신적 계산 능력의 향상, 시뮬레이터 조절에서의 실수감소, 스투르프효과(Stroop effect)의 감소, 지능검사의 향상, 실제사건에 대한 기억력 검사와 웩슬러 척도(Wechsler Scale)에서의 향상과 같은 여러 인지능력 검사에서 좋은 영향을 미친다고 한다. 포도당 용액과 간식의 섭취는 기억력을 개선한다. 아침식사를 거르는 것은 아동들에서 낮은 학습능력을 보인다. 인지능력 변화와 관련 있는 식이는 뇌에 포도당을 공급하는 것과 관련 있다. 과당도 동물실험에서 기억력을 향상시키는 기능이 있다는 것을 보여주고 있다. 본 논문은 당 섭취가 인지능력에 미치는 영향에 대한 과학적인 연구들을 종합하여 정리한 것이다.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.217-234
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• 2018

In this study, big data analysis was conducted for domestic and international sports goods brands. Text Mining, TF-IDF, Opinion Mining, interestity graph were conducted through the social matrix program Textom and the fashion data analysis platform MISP. In order to examine the recent recognition of sports brands, the period of study is limited to 1 year from January 1, 2017 to December 31, 2017. As a result of analysis, first, we could confirm the products representing each brand. Second, I could confirm the marketing that represents each brand. Third, the common words extracted from each brand were identified. Fourth, the emotions of positive and negative of each brand were confirmed.

• Annual Conference on Human and Language Technology
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• 2004.10d
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• pp.65-72
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• 2004

본 논문에서는 백오프 통계 정보를 이용하여 일반적인 복합명사 뿐만 아니라 외래어 미등록어를 포함한 복합명사도 잘 분해하는 방법을 제안한다. 본 시스템은 입력으로 형태소분석기가 내주는 많은 분석 후보들을 받는다. 단음절 명사를 포함한 분석 후보도 포함되므로 입력 분석 후보의 수는 대단히 많게 된다. 본 모듈의 주요 작업은 이 중에서 가장 좋은 분석후보를 선택하는 것이 된다. 미등록어가 포함된 경우 이에 부합되는 분석 후보를 잘 선택하는 시스템의 개발을 목표로 한다. 이를 위해서 본 시스템에서 사용하는 주요 정보는 단어간 어휘 바이그램 통계정보이다. 또한 외래어 미등록어의 인식 정확성을 높이기 위해 음절 바이그램 정보도 이용한다. 통계정보는 대량의 품사 태깅 말뭉치에서 추출하였다. 데이터 부족 문제를 해소하기 위해서 우리는 백오프(back-off) 평탄화(smoothing) 기법을 이용하였다. 미등록어가 포함된 복합명사의 분석 후보의 수를 줄이기 위한 기술도 연구하였다.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.11
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• pp.1527-1535
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• 1995

This paper introduces an isolated word recognition system realized on a neurocomputer called E-MIND II, which is a 2-D torus wavefront array processor consisting of 256 DNP IIs. The DNP II is an all digital VLSI unit processor for the EMIND II featuring the emulation capability of more than thousands of neurons, the 40 MHz clock speed, and the on-chip learning. Built by these PEs in 2-D toroidal mesh architecture, the E- MIND II can be accelerated over 2 Gcps computation speed. In this light, the advantages of the E-MIND II in its capability of computing speed, scalability, computer interface, and learning are especially suitable for real time application such as speech recognition. We show how to map a TDNN structure on this array and how to code the learning and recognition algorithms for a user independent isolated word recognition. Through hardware simulation, we show that recognition rate of this system is about 97% for 30 command words for a robot control.

• Speech Sciences
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• v.13 no.3
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• pp.155-167
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• 2006

Hearing impairment children possess poor underlying perceptual knowledge of the sound system and show delayed development of segmental organization of that system. The purpose of this study was to investigate the relationship between phonological awareness ability and word identification ability in hearing impaired children. 14 children with moderately severe hearing loss participated in this study. All tasks were individually administered. Phonological awareness tests consisted of syllable blending, syllable segmentation, syllable deletion, body-coda discrimination, phoneme blending, phoneme segmentation and phoneme deletion. Close-set Monosyllabic Words(12 items) and lists 1 and 2 of open-set Monosyllabic Words in EARS-K were examined for word identification. Results of this study were as follows: First, from the phonological awareness task, the close-set word identification showed a high positive correlation with the coda discrimination, phoneme blending and phoneme deletion. The open-set word identification showed a high positive correlation with phoneme blending, phoneme deletion and phoneme segmentation. Second, from the level of phonological awareness, the close-set word identification showed a high positive correlation with the level of body-coda awareness and phoneme awareness while the open-set word identification showed a high positive correlation only with the level of phoneme awareness.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.4
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• pp.215-221
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• 2011

Mobile phones, which were used for simply calling and sending text messages, have recently moved to application-oriented digital devices such as smart phones and tablet phones. The rapid increase of smart and tablet phones which can offer advanced ability and run a variety of applications based on Java requires various digital multimedia content activities. These days, there are more than 2.2 billions of Christians around the world. Among them, more than 300 millions of people live in Asian, and all of them have and read the bible. If there is an application for the bible which translates from English to their own languages, it could be very helpful. With this reason, this paper proposes a multi-bible application that supports various languages. To do this, we implemented an algorithm that recognize sentences in the bible as word by word. The algorithm is essentially composed of the following three functions: tokenizing sentences in the bible into word by word (word tokenization), recognizing words by using touch event (word recognition), and translating the selected words to the desired language. Consequently, the proposed multi-bible application supports language translation efficiently by touching words of sentences in the bible.