• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.297-304
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• 1994

코퍼스는 기계 가독형으로 개장되어 있는 실제 사용 언어의 집합으로 자연어 처리에 필요한 여러 가지 언어 정보를 내재하고 있다. 이들 정보는 코퍼스 분석기를 이용하여 획득할 수 있으며 용례와 각종 통계 정보 및 확률 정보, 연어 목록 등은 코퍼스에서 추출할 수 있는 대표적인 언어 정보들이다. 그러나 기존의 한국어 코퍼스 분석 도구들은 용례 추출 기능만을 보유하여 활용 범위가 제한되어 있었다. 이에 본 논문에서는 대량의 한국어 코퍼스를 분석하여 용례뿐만 아니라 자연어 처리의 제분야에서 필요한 언어 정보들을 추출하는 방법에 대해 연구하였으며 이의 검증을 위해 KCAT(Korean Corpus Analysis Tool)를 구현하였다. KCAT는 코퍼스 색인, 용례 추출, 통계 정보 추출, 연어 추출 부분으로 구성되어 있다. 용례 색인을 위해서는 여러 가지 사전과 용례 색인 구조가 필요한데 KCAT에서는 가변 차수 B-Tree 구조를 이용하여 사전을 구성하며 용례 색인을 위해 버킷 단위의 역 화일 구조를 이용한다. 질 좋은 용례의 추출을 위해 KCAT는 다양한 용례 연산 및 정렬 기능을 제공한다. 또한 통계적 방법의 자연어 처리 분야를 위해 어휘 확률, 상태 전이 확률, 관측 심볼 확률, 상호 정보, T-score 등을 제공하며, 기계 번역 분야에서 필요한 연어를 추출한다.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.336-340
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• 2008

Sentiment classification is a recent subdiscipline of text classification, which is concerned not with the topic but with opinion. In this paper, we present a Korean sentence and document classification system using effective sentiment features. Korean sentiment classification starts from constructing effective sentiment feature sets for positive and negative. The synonym information of a English word thesaurus is used to extract effective sentiment features and then the extracted English sentiment features are translated in Korean features by English-Korean dictionary. A sentence or a document is represented by using the extracted sentiment features and is classified and evaluated by SVM(Support Vector Machine).

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.06a
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• pp.210-215
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• 2000

HANTEC1.0은 12만 건의 문서집합과 30개의 질의집합, 그리고 각 질의에 대한 적합문서로 구성된 정보검색용 한글 테스트 컬렉션이다. 본 연구에서는 HANTEC1.0의 확장 및 보완하기 위해 과학기술분야 20개의 질의를 추가하였는데, 질의 추가를 위해서 일본 NACSIS 테스트 컬렉션의 질의를 번역하여 사용함으로써 한일 교차언어 검색환경을 조성하고자 하였다. 추가된 각 질의에 대해서는 여러 검색기에서 총 41가지 검색방법으로 검색한 후, 각 검색조합의 상위 50개 문서로 구성된 중간 결과집합을 만들었으며, 이를 대상으로 적합성판정에 대한 평가기준 및 절차 교육이 이루어진 평가자가 각 질의에 대한 적합성평가를 실시하였다. 이렇게 구축된 HANTEC 테스트 컬렉션의 적합문서 집합의 객관적 품질 평가와 시스템 성능평가를 위하여 통계적인 방법을 적용하므로써 공신력있고 일반화된 테스트 컬렉션을 구축하고자 하였다. 현재 HANTEC2.0은 검색분야 연구자 및 개발자에게 자유롭게 배포 중이며 정복머색 시스템의 신뢰도 측정을 목적으로 하는 학술대회의 연구결과 발표 및 제품 비교 등에 활용되어질 것이다.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.210-215
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• 2000

HANTEC1.0은 12만 건의 문서집합과 30개의 질의집합, 그리고 각 질의에 대한 적합문서로 구성된 정보검색용 한글 테스트 컬렉션이다. 본 연구에서는 HANTEC1.0의 확장 및 보완하기 위해 과학기술분야 20개의 질의를 추가하였는데, 질의 추가를 위해서 일본 NACSIS 테스트 컬렉션의 질의를 번역하여 사용함으로써 한일 교차언어 검색환경을 조성하고자 하였다. 추가된 각 질의에 대해서는 여러 검색기에서 총 41가지 검색방법으로 검색한 후, 각 검색조합의 상위 50개 문서로 구성된 중간 결과집합을 만들었으며, 이를 대상으로 적합성판정에 대한 평가기준 및 절차 교육이 이루어진 평가자가 각 질의에 대한 적합성평가를 실시하였다 이렇게 구축된 HANTEC 테스트 컬렉션의 적합문서 집합의 객관적 품질 평가와 시스템 성능평가를 위하여 통계적인 방법을 적용하므로써 공신력있고 일반화된 테스트 컬렉션을 구축하고자 하였다. 현재 HANTEC2.0은 검색분야 연구자 및 개발자에게 자유롭게 배포 중이며 정보검색 시스템의 신뢰도 측정을 목적으로 하는 학술대회의 연구결과 발표 및 제품 비교 등에 활용되어질 것이다.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.102-108
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• 1999

It is important to decide processing unit in the large vocabulary speech recognition system we propose a Pseudo-Morpheme as the recognition unit to resolve the problems in the recognition systems using the phrase or the general morpheme. We implement a morphological analysis system and tagger for Pseudo-Morpheme. The speech processing system using this pseudo-morpheme can get better result than other systems using the phrase or the general morpheme. So, the quality of the whole spoken language translation system can be improved. The analysis-ratio of our implemented system is similar to the common morphological analysis systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.269-271
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• 2022

In recent years, RNN networks with LSTM blocks have been used extensively in machine learning tasks that process sequential data. These networks have proven to be particularly good at sequential language processing tasks by being more able to accurately predict the next most likely word in a given sequence than traditional neural networks. This study trained an RNN / LSTM neural network on three different translations of 150 biblical Psalms - in both English and Korean. The resulting model is then fed an input word and a length number from which it automatically generates a new Psalm of the desired length based on the patterns it recognized while training. The results of training the network on both English text and Korean text are compared and discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.673-676
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• 2020

In 21 century, we entered the multiculture society. Multi cultural society became a trend. It is known that 65.5 percents of Koreans find difficuty in using foreign languages. The need for intellignet and machine translation is increasing rapidly. This paper suggests a translation system which is mainly using in MICE industry. There are many applications provide translation, however, using multuple translayion appication is rare. We provide untact service which can import many application tools to provide a better service.

• Journal of Life Science
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• v.23 no.8
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• pp.1064-1072
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• 2013

Circadian rhythm is controlled by hormonal oscillations governing the physiology of all living organisms. In mammals, the main function of the pineal gland is to transform the circadian rhythm generated in the hypothalamic suprachiasmatic nucleus into rhythmic signals of circulating melatonin characterized by a largely nocturnal increase that closely reflects the duration of night time. The pineal gland has lost direct photosensitivity, but responds to light via multi-synaptic pathways that include a subset of retinal ganglion cells. Rhythmic control is achieved through a tight coupling between environmental lighting and arylalkylamine-N-acetyltransferase (AANAT) expression, which is the rhythm-controlling enzyme in melatonin synthesis. Previous studies on the nocturnal expression of AANAT protein have described transcriptional, post-transcriptional, and post-translational regulatory mechanisms. Molecular mechanisms for dependent AANAT expression provide novel aspects for melatonin's circadian rhythmicity. Extensive animal research has linked pineal melatonin for the expression of seasonal rhythmicity in many mammalian species to the modulation of circadian rhythms and to sleep regulation. It has value in treating various circadian rhythm disorders, such as jet lag or shift-work sleep disorders. Melatonin, also, in a broad range of effects with a significant regulation influences many of the body's physiological functions. In addition, this hormone is known to influence reproductive, cardiovascular, and immunological regulation as well as psychiatric disorders.

• The Transactions of the Korea Information Processing Society
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• v.3 no.6
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• pp.1407-1417
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• 1996

In recent researches on thread partitioning algorithms break a thread at the long latency operation and merge threads to get the longer threads under the given constraints. Due to this limitation, even a program with little parallelism is partitioned into small-sized threads and context-swithings occur frequently. In the paper, we propose another method array localization about the array name, dependence distance(the difference of accessed element index from loop index), and the element usage that indicates whether element is used or defined. Using this information we can allocate array elements to the node where the corresponding loop activation is executed. By array localization, remote accesses to array elements can be replaced with local accesses to localized array elements. As a resuit,the boundaries of some threads are removed, programs can be partitioned into the larger threads and the number of context switchings reduced.

• Journal of the Korean School Mathematics Society
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• v.24 no.3
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• pp.261-282
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• 2021

This study identified the meaning of mathematical justification and its characteristics for middle school math gifted students. 17 middle school math gifted students participated in questionnaires and written exams. Results show that the gifted students recognized justification in various meanings such as proof, systematization, discovery, intellectual challenge of mathematical justification, and the preference for deductive justification. As a result of justification exams, there was a difference in algebra and geometry. While there were many deductive justifications in both algebra and geometry questionnaires, the difference exists in empirical justifications: there were many empirical justifications in algebra, but there were few in geometry questions. When deductive justification was completed, the students showed satisfaction with their own justification. However, they showed dissatisfaction when they could not deductively justify the generality of the proposition using mathematical symbols. From the results of the study, it was found that justification education that can improve algebraic translation ability is necessary so that gifted students can realize the limitations and usefulness of empirical reasoning and make deductive justification.