• Title/Summary/Keyword: 대화분석방법

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A joint statistical model for word spacing and spelling error correction (띄어쓰기 및 철자 오류 동시교정을 위한 통계적 모델)

  • Noh, Hyung-Jong;Cha, Jeong-Won;Lee, Gary Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 2006.10e
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    • pp.25-31
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    • 2006
  • 본 논문에서는 띄어쓰기 오류와 철자 오류를 동시에 교정 가능한 전처리기를 제안한다. 제시된 알고리즘은 기존의 전처리기 알고리즘이 각 오류를 따로 해결하는 데에서 오는 한계를 극복하고, 기존의 noisy-channel model을 확장하여 대화체의 띄어쓰기 오류와 철자오류를 동시에 효과적으로 교정할 수 있다. N-gram과 자소변환확률 등의 통계적 방법과 어절변환패턴 사전을 이용하여 최대한 사전을 적게 이용하면서도 효과적으로 교정 후보들을 생성할 수 있다. 실험을 통해 현재 단계에서는 만족할 만한 성능을 얻지는 못하였지만 오류 분석을 통하여 이와 같은 방법론이 실제로 효용성이 있음을 알 수 있었고 앞으로 더 많은 개선을 통해 일상적인 대화체 문장에 대해서 효과적인 전처리기로서 기능할 수 있을 것으로 기대 된다.

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The case study of geography classes taught by non-majored teacher in the middle school (비전공 교사에 의한 지리 수업 운영에 대한 사례 연구)

  • 박선미
    • Proceedings of the KGS Conference
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    • 2004.05a
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    • pp.97-97
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    • 2004
  • 본 연구에서는 전공 교사와 비전공 교사에 의한 지리 수업의 차이점과 비전공 교사에 의한 지리 수업 운영의 문제점을 분석하고자 2003년 4월과 5월에 서울의 3개 중학교에서 이루어진 4개의 지리 수업을 관찰하였다. 수업 분석 내용은 (1) 수업의 조직, (2) 교사와 학생간에 이루어지는 대화의 이동 양식, (3) 수업 방법이다. 수업 관찰 이후에 해당 학교의 사회과 교사들과 면담을 통하여 비전공 교사가 지리를 가르칠 때 어려움과 해결 방법 등에 관련된 자료를 추가로 수집하였다. (중략)

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An Iterative, Interactive and Unified Seismic Velocity Analysis (반복적 대화식 통합 탄성파 속도분석)

  • Suh Sayng-Yong;Chung Bu-Heung;Jang Seong-Hyung
    • Geophysics and Geophysical Exploration
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    • v.2 no.1
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    • pp.26-32
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    • 1999
  • Among the various seismic data processing sequences, the velocity analysis is the most time consuming and man-hour intensive processing steps. For the production seismic data processing, a good velocity analysis tool as well as the high performance computer is required. The tool must give fast and accurate velocity analysis. There are two different approches in the velocity analysis, batch and interactive. In the batch processing, a velocity plot is made at every analysis point. Generally, the plot consisted of a semblance contour, super gather, and a stack pannel. The interpreter chooses the velocity function by analyzing the velocity plot. The technique is highly dependent on the interpreters skill and requires human efforts. As the high speed graphic workstations are becoming more popular, various interactive velocity analysis programs are developed. Although, the programs enabled faster picking of the velocity nodes using mouse, the main improvement of these programs is simply the replacement of the paper plot by the graphic screen. The velocity spectrum is highly sensitive to the presence of the noise, especially the coherent noise often found in the shallow region of the marine seismic data. For the accurate velocity analysis, these noise must be removed before the spectrum is computed. Also, the velocity analysis must be carried out by carefully choosing the location of the analysis point and accuarate computation of the spectrum. The analyzed velocity function must be verified by the mute and stack, and the sequence must be repeated most time. Therefore an iterative, interactive, and unified velocity analysis tool is highly required. An interactive velocity analysis program, xva(X-Window based Velocity Analysis) was invented. The program handles all processes required in the velocity analysis such as composing the super gather, computing the velocity spectrum, NMO correction, mute, and stack. Most of the parameter changes give the final stack via a few mouse clicks thereby enabling the iterative and interactive processing. A simple trace indexing scheme is introduced and a program to nike the index of the Geobit seismic disk file was invented. The index is used to reference the original input, i.e., CDP sort, directly A transformation techinique of the mute function between the T-X domain and NMOC domain is introduced and adopted to the program. The result of the transform is simliar to the remove-NMO technique in suppressing the shallow noise such as direct wave and refracted wave. However, it has two improvements, i.e., no interpolation error and very high speed computing time. By the introduction of the technique, the mute times can be easily designed from the NMOC domain and applied to the super gather in the T-X domain, thereby producing more accurate velocity spectrum interactively. The xva program consists of 28 files, 12,029 lines, 34,990 words and 304,073 characters. The program references Geobit utility libraries and can be installed under Geobit preinstalled environment. The program runs on X-Window/Motif environment. The program menu is designed according to the Motif style guide. A brief usage of the program has been discussed. The program allows fast and accurate seismic velocity analysis, which is necessary computing the AVO (Amplitude Versus Offset) based DHI (Direct Hydrocarn Indicator), and making the high quality seismic sections.

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Visualization of Time-Varying Oceanography Volume Data (시간 가변 해양 볼륨 데이터의 가시화)

  • 박상훈;임인성
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.889-891
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    • 2004
  • 본 논문은 약 134 GB에 이르는 시간 가변 해양 볼륨 데이터론 효과적으로 가시화 하기 위한 두 가지 접근 방법을 제시한다. 첫 번째 방법은 고화질의 동영상을 생성하기 위한 오프라인 병렬 볼륨 렌더링 기법으로, 볼륨광선추적법과 등가면 기법을 통합한 렌더링 알고리즘을 적용하여 고해상도의 영상을 생성할 수 있다. 두 번째 방법은, 그래픽스 하드웨어 가속기능을 통해 대화식 가시화가 가능한 멀티 파이프 렌더링을 구현하는 것으로, 복수개의 그래픽스 파이프라인과 3차원 텍스춰 맵핑 가속기능을 이용해 시간의 변화에 따른 해양의 변화를 효과적으로 가시화하고 분석할 수 있다.

Simulation Application in Textile Industry (AIM을 이용한 염색공장의 생산성 향상을 위한 시뮬레이션)

  • 최성훈
    • Proceedings of the Korea Society for Simulation Conference
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    • 1994.10a
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    • pp.6-6
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    • 1994
  • 본 사례는 염색 공장의 생산성 향상을 위해 시뮬레이션 기법을 사용한 것이다. 두 가지 시뮬레이션 분석이 실시되었다. 첫 번째는 봉제라인 모델을 개발하여 버퍼 크기와 작없시간 편차가 생산성에 미치는 영향을 분석한 것이다. 두 번째 모델은 건조기, 표백기 등과 같은 염색 설비의 투자 효과 분석에 대한 것이다. 본 사례에서 작업시간의 확률분포를 추정하는 새로운 방법을 제시하였다. 모델 개발과 분석을 위해 AIM (Analyzer for Improving Nanufacturing)이 사용되었다. AIM은 Pritsker 사가 개발한 제조 시스템 전용 시뮬레이션 소프트웨어이다. AIM은 대화방식의 모델 개발 및 시뮬레이션이 가능하고 자동적인 애니메이션 작성과 강력한 그래프 기능을 제공하므로 AIM을 이용하면 모델 개발기간이 대폭적인 단축과 시뮬레이션의 커뮤니케이션 기능을 향상시킬수 있다.

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The fundamental frequency (f0) distribution of Korean speakers in a dialogue corpus using Praat and R (Praat과 R로 분석한 한국인 대화 음성 말뭉치의 fundamental frequency(f0)값 분포)

  • Byunggon Yang
    • Phonetics and Speech Sciences
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    • v.15 no.3
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    • pp.17-25
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    • 2023
  • This study examines the fundamental frequency(f0) distribution of 2,740 Korean speakers in a dialogue speech corpus. Praat and R were used for the collection and analysis of acoustical f0 data after removing extreme values considering the interquartile f0 range of the intonational phrases produced by each individual speaker. Results showed that the average f0 value of all speakers was 185 Hz and the median value was 187 Hz. The f0 data showed a positively skewed distribution of 0.11, and the kurtosis was -0.09, which is close to the normal distribution. The pitch values of daily conversations varied in the range of 238 Hz. Further examination of the male and female groups showed distinct median f0 values: 114 Hz for males and 199 Hz for females. A t-test between the two groups yielded a significant difference. The skewness representing the distribution shape was 1.24 for the male group and 0.58 for the female group. The kurtosis was 5.21 and 3.88 for the male and female groups, and the male group values appeared leptokurtic. A regression analysis between the median f0 and age yielded a slope of 0.15 for the male group and -0.586 for the female group, which indicated a divergent relationship. In conclusion, a normative f0 distribution of different Korean age and sex groups can be examined in the conversational speech corpus recorded by a massive number of participants. However, more rigorous data might be required to define a relation between age and f0 values.

Reading "Ce que l'image nous dit", between Academia and its Interpretation (『이미지가 우리에게 말해주는 것』 읽기 -아카데미아와 그 해설)

  • Kim, Hangyul
    • Journal of Popular Narrative
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    • v.27 no.1
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    • pp.341-357
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    • 2021
  • Didier Éribon's dialogue with Ernst Gombrich, first published in 1991 in France, stands as a curious example of interpreting a scientific mind into a popular narrative. On the occasion of its brand new translation in Korean, this essay examines the encounter of two different languages, that of scholarly art history and the other, of "entretien". Éribon's previous interviews with Georges Dumézil and Claude Lévi-Strauss have already shown the perfect use of dialogue that interprets in simple words some currents of European thoughts of 20th century at its highest level. The double identity found in the extraordinary profile of the author of The Story of Art should help us deal with this particular form of dialogue in depth, and expect another possibility of explaining and reconstructing academia.

A mixed-initiative conversational agent for ubiquitous home environments (유비쿼터스 가정환경을 위한 상호주도형 대화 에이전트)

  • Song In-Jee;Hong Jin-Hyuk;Cho Sung-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.7
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    • pp.834-839
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    • 2005
  • When a great variety of services become available to user through the broadband convergence network in the ubiquitous home environment, an intelligent agent is required to deal with the complexity of services and perceive intension of a user. Different from the old-fashioned command-based user interface for selecting services, conversation enables flexible and rich interactions between human and agents, but diverse expressions of the user's background and context make conversation hard to implement by using either user-initiative or system-initiative methods. To deal with the ambiguity of diverse expressions between user and agents, we have to apply hierarchial bayesian networks for the mixed initiative conversation. Missing information from user's query is analyzed by hierarchial bayesian networks to inference the user's intension so that can be collected through the agent's query. We have implemented this approach in ubiquitous home environment by implementing simulation program.

Improved Transformer Model for Multimodal Fashion Recommendation Conversation System (멀티모달 패션 추천 대화 시스템을 위한 개선된 트랜스포머 모델)

  • Park, Yeong Joon;Jo, Byeong Cheol;Lee, Kyoung Uk;Kim, Kyung Sun
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.138-147
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    • 2022
  • Recently, chatbots have been applied in various fields and have shown good results, and many attempts to use chatbots in shopping mall product recommendation services are being conducted on e-commerce platforms. In this paper, for a conversation system that recommends a fashion that a user wants based on conversation between the user and the system and fashion image information, a transformer model that is currently performing well in various AI fields such as natural language processing, voice recognition, and image recognition. We propose a multimodal-based improved transformer model that is improved to increase the accuracy of recommendation by using dialogue (text) and fashion (image) information together for data preprocessing and data representation. We also propose a method to improve accuracy through data improvement by analyzing the data. The proposed system has a recommendation accuracy score of 0.6563 WKT (Weighted Kendall's tau), which significantly improved the existing system's 0.3372 WKT by 0.3191 WKT or more.

A study on Korean multi-turn response generation using generative and retrieval model (생성 모델과 검색 모델을 이용한 한국어 멀티턴 응답 생성 연구)

  • Lee, Hodong;Lee, Jongmin;Seo, Jaehyung;Jang, Yoonna;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.13-21
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    • 2022
  • Recent deep learning-based research shows excellent performance in most natural language processing (NLP) fields with pre-trained language models. In particular, the auto-encoder-based language model proves its excellent performance and usefulness in various fields of Korean language understanding. However, the decoder-based Korean generative model even suffers from generating simple sentences. Also, there is few detailed research and data for the field of conversation where generative models are most commonly utilized. Therefore, this paper constructs multi-turn dialogue data for a Korean generative model. In addition, we compare and analyze the performance by improving the dialogue ability of the generative model through transfer learning. In addition, we propose a method of supplementing the insufficient dialogue generation ability of the model by extracting recommended response candidates from external knowledge information through a retrival model.