• Title/Summary/Keyword: 복합어

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A Corpus Formalization for Extracting the Syntactic Relations (구문 관계 지식 추출을 위한 코퍼스 정규화에 대한 연구)

  • Cho, Jeong-Mi;Cho, Young-Hwan;Kim, Gil-Chang
    • Annual Conference on Human and Language Technology
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    • 1996.10a
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    • pp.207-215
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    • 1996
  • 대량의 코퍼스를 이용해 여러 가지 일반적인 언어 현상을 관찰하고, 언어 지식을 자동으로 획득하여 자연 언어 처리의 여러 분야에 이용하는 등의 연구가 활발히 진행되고 있으며, 이에 따라 코퍼스에 대한 필요성이 날로 증가하고 있다. 코퍼스에서 추출할 수 있는 유용한 지식 중의 하나가 구문 관계 지식이다. 그러나 한국어에 자주 나타나는 격이동이나 생략 현상, 복합어의 이형태 등은 정확한 지식 획득을 어렵게 할 뿐 아니라 자료 회귀 문제를 더욱 심화시킨다. 본 논문에서는 한국어의 문법적인 특징을 반영한 코퍼스정규화에 의해 이러한 문제를 해결하고자한다.

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Representation of Local Grammar for Temporal Expression and Analysis of Temporal Phrase with FST (시간 표현에 대한 부분 문법 기술 및 FST를 이용한 시간 구문 분석)

  • Kim, Youn-Gwan;Yoon, Jun-Tae;Song, Man-Suk
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.231-236
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    • 1999
  • 시간표현은 문장에서 다른 명사와 결합하여 복합어를 이루는 경우가 있고, 용언과 결합하여 시간 부사의 역할을 하는 경우가 있는데, 이는 구문 분석에 있어서 중의적 해석이 두드러지며, 그 결과 구문 분석의 오류를 빈번히 야기하기도 한다. 본 논문에서는 이러한 시간 관계의 표현을 대량의 말뭉치로부터 획득하고 이들을 부분문법(local grammar)으로 표현한 후, 이것을 FST(Finite State Transducer)를 이용하여 부분 구문분석을 하고자 한다. 이를 위해 5천만 어절의 말뭉치에서 259개의 시간 단어를 추출하였고, 시간 단어들의 의미적 또는 기능적 사용에 의해서 26개의 어휘 범주로 분류하고 각 범주들의 결합관계를 일반화하였다. 실험을 통하여 인식을 위한 시간표현의 결합관계는 최고 97.2%의 정확률을 보였고, 품사태깅에 있어서는 평균 96.8%의 정확률을 보였다. 이는 시간 표현의 결합관계가 부분 구문분석에 있어서 유용한 정보임을 보여준다.

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A Study on the Application of Machine Learning in Literary Texts - Focusing on Rule Selection for Speaker Directive Analysis - (문학 텍스트의 머신러닝 활용방안 연구 - 화자 지시어 분석을 위한 규칙 선별을 중심으로 -)

  • Kwon, Kyoungah;Ko, Ilju;Lee, Insung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.313-323
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    • 2021
  • The purpose of this study is to propose rules that can identify the speaker referred by the speaker directive in the text for the realization of a machine learning-based virtual character using a literary text. Through previous studies, we found that when applying literary texts to machine learning, the machine did not properly discriminate the speaker without any specific rules for the analysis of speaker directives such as other names, nicknames, pronouns, and so on. As a way to solve this problem, this study proposes 'nine rules for finding a speaker indicated by speaker directives (including pronouns)': location, distance, pronouns, preparatory subject/preparatory object, quotations, number of speakers, non-characters directives, word compound form, dispersion of speaker names. In order to utilize characters within a literary text as virtual ones, the learning text must be presented in a machine-comprehensible way. We expect that the rules suggested in this study will reduce trial and error that may occur when using literary texts for machine learning, and enable smooth learning to produce qualitatively excellent learning results.

The Effects of Combined Exercise and Peony Drinking on Inflammatory Factors in Middle Aged Women (복합운동과 작약 음료 섭취가 중년여성들의 염증인자에 미치는 영향)

  • Eo, Kyung-Tae;Kim, Chan-Hoi;Kim, Ji-Won
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.425-431
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    • 2018
  • The middle aged women in their 40s and 50s were the subjects for this study. There were 6 women for the group of complex exercise. There were 6 women for the group of complex exercise and intake of peony beverage. There were 5 women for controlled group. This study compares and analyzes the effect of complex exercise program, in which the subjects exercise 60 minutes a day for three times a week, on the physical structure, inflammation factors and metabolic syndrome of middle aged women. The result is as shown in the following. there were significant difference (p<.001) for fibrinogen of each group in the change of inflammation factors due to regular complex exercise program and intake of peony beverage. But there were not significant difference in the period, period x the effect of groups' interaction. It is believed that there could be polluted variables, as the number of subjects for this study is not enough. So there should be a study that has more subjects to make it more significant.

A Method for Compound Noun Extraction to Improve Accuracy of Keyword Analysis of Social Big Data

  • Kim, Hyeon Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.55-63
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    • 2021
  • Since social big data often includes new words or proper nouns, statistical morphological analysis methods have been widely used to process them properly which are based on the frequency of occurrence of each word. However, these methods do not properly recognize compound nouns, and thus have a problem in that the accuracy of keyword extraction is lowered. This paper presents a method to extract compound nouns in keyword analysis of social big data. The proposed method creates a candidate group of compound nouns by combining the words obtained through the morphological analysis step, and extracts compound nouns by examining their frequency of appearance in a given review. Two algorithms have been proposed according to the method of constructing the candidate group, and the performance of each algorithm is expressed and compared with formulas. The comparison result is verified through experiments on real data collected online, where the results also show that the proposed method is suitable for real-time processing.

Design of Polymer Composites for Effective Shockwave Attenuation (충격파 완화 복합재의 설계)

  • Gyeongmin Park;Seungrae Cho;Hyejin Kim;Jaejun Lee
    • Composites Research
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    • v.37 no.1
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    • pp.21-31
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    • 2024
  • This review paper investigates the use of shockwave attenuating materials within composite structures to enhance personnel protection against blast-induced traumatic brain injury (bTBI). This paper also introduces experimental methodologies exploited in the generation and measurement of shockwaves to evaluate the performance of the shock dissipating composites. The generation of shockwaves is elucidated through diverse approaches such as high-energy explosives, shock tubes, lasers, and laser-flyer techniques. Evaluation of shockwave propagation and attenuation involves the utilization of cutting-edge techniques, including piezoelectric, interferometer, electromagnetic induction, and streak camera methods. This paper investigates phase-separated materials, including polyurea and ionic liquids, and provides insight into composite structures in the quest for shockwave pressure attenuation. By synthesizing and analyzing the findings from these experimental approaches, this review aims to contribute valuable insights to the advancement of protective measures against blast-induced traumatic brain injuries.

Machine Tool Technology;The Present And The Future(7) (공작기계기술의 현재와 미래(7))

  • 강철희
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.10
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    • pp.5-17
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    • 1995
  • 기계가공(Machining)중에서 가장 기본적인 것이 선삭(Turning)작업이며, 이 가공은 선반(Lathe)에 의해서 행하여지고 있는 것은 다 아는 사실이다. 공작기계의 발달과 금속 절삭 원리(Principles of metal cutting)는 선반을 중심으로 약 일세기동안 꾸준히 발전해 오고 있으며, 수없이 쏟아져 나온 연구논문들의 대부분이 선반에 의한 가공과 그 공작기계에 의해서 이루어졌으며 앞으로도 계속 보통선반, CNC선반의 토대 위에서 이루어지리라고 보고 있다. 공작기계 중에서 CNC 선반의 발달 과정을 요약해보면 1960년대의 대량 생산시대에는 Programmable control 방식의 자동 터렛트(Turret) 선반이 개발되어 생산 공정이 비교적 간단한 양산 가공기로서 환영을 받게 되었다. 1970년대에 들어서면서 다품종소량생산이 중요시되었고, 그때 NC 선반시대가 시작되었다고 볼 수 있다. 현 싯점에서 볼 때 이것은 중품종중량생산 이라고 말할 수 있으며, Turret 선반의 NC화 즉, Multi-tool에 의한 선반의 복합가공이 가능해졌지만 Tooling에 문제가 발생하였다. 1980년에 들어서 각종 MC 들이 광범위하게 발달, 보급되는 경향에 따라서 NC 선반도 고능률화의 일환으로 고속화와 더불어 회전공구인 End mill. Drill. Tap 등의 복합가공이 가능한 복합선반이 차례로 개발되었고 선삭공구와 회전공구등의 자동공구교환(Automatic Tool. Changing. ATC)이 가능해지고 Y축 보정(Co-mpensation)기구를 부착한 대형 Turning center가 개발되어 보급되게 되었다.

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Automatic Generation of Pronunciation Variants for Korean Continuous Speech Recognition (한국어 연속음성 인식을 위한 발음열 자동 생성)

  • 이경님;전재훈;정민화
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.2
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    • pp.35-43
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    • 2001
  • Many speech recognition systems have used pronunciation lexicon with possible multiple phonetic transcriptions for each word. The pronunciation lexicon is of often manually created. This process requires a lot of time and efforts, and furthermore, it is very difficult to maintain consistency of lexicon. To handle these problems, we present a model based on morphophon-ological analysis for automatically generating Korean pronunciation variants. By analyzing phonological variations frequently found in spoken Korean, we have derived about 700 phonemic contexts that would trigger the multilevel application of the corresponding phonological process, which consists of phonemic and allophonic rules. In generating pronunciation variants, morphological analysis is preceded to handle variations of phonological words. According to the morphological category, a set of tables reflecting phonemic context is looked up to generate pronunciation variants. Our experiments show that the proposed model produces mostly correct pronunciation variants of phonological words. Then we estimated how useful the pronunciation lexicon and training phonetic transcription using this proposed systems.

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A Study on the Use of Art Information Based on Digital Media - Focusing on Art Appreciation Mobile Application - (디지털미디어 기반 미술 정보 활용 방안 연구 - 미술 감상 모바일 애플리케이션을 중심으로 -)

  • Hur, Yukyoung;Park, Seung Ho
    • Design Convergence Study
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    • v.15 no.5
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    • pp.1-19
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    • 2016
  • The emergence of digital media has enabled visitors' active intervention based on the existing art information archiving. Accordingly, this study was conducted to analyze how archiving data that art museums have developed so farcan be provided significantly to visitors and generate a contemporary appreciation code. This study intended to solve the problems in case study analysis through the restructuralization of information that reflected visitors' appreciation activities as the principal agent. The structure of information, which was reframed for multilayered information approach and use by keyword, is meaningful as it has developed an information structure to mainly enhance visitors' understanding. It is expected that the use of art information proposed in this study will be helpful for setting the specific direction of actual transmedia storytelling service by art museums based on web later on.

A Study on the Baroque Characteristics Expressed in Architecture by Richard Meier (리처드 마이어 건축에 표현된 바로크적 특성 연구)

  • Han, Myoung-Sik
    • Korean Institute of Interior Design Journal
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    • v.22 no.3
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    • pp.127-134
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    • 2013
  • Baroque is fundamentally in contrast with renaissance style classicism, which attempted to fix a world view itself as the value of perpetuity. Furthermore, it is interpreted as a topic of incompletion or transformation that is not defined or is not exemplary and which may be enjoyed by people in the classical life, which requires a microscopic concept in contrast with dualism, the central axis of western civilization, namely, rational lucidity. Also, such characteristics are estimated to serve as a lubricant in life while going beyond the formal aesthetic level of art even from a contemporary perspective, and to play a productive role and to have potential. Consequently, this paper assumed that the concepts expressed by the 20th century US contemporary architect Richard Meier of a complex space, namely architectural formative vocabularies such as overlapping, interpenetration, collision, and collage style mixture created by a layered structure, in his architecture are in common with the double surface technique and juxtaposition of a flat structure of Baroque architecture. Then, the paper analyzed and considered the characteristics. The paper considered the following two issues: Such Baroque style formal principle is reinterpreted against a backdrop in which his architectural flow based on the domino theory of Le Corbusier became established as his own unique architectural feature, and it may be proposed as one big flow that enables us to seek again modernistic architecture that attempts to make an architectural space absolute as an atypical formal contour.