• 제목/요약/키워드: Linguistic processing

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Lessons from Developing an Annotated Corpus of Patient Histories

  • Rost, Thomas Brox;Huseth, Ola;Nytro, Oystein;Grimsmo, Anders
    • Journal of Computing Science and Engineering
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    • v.2 no.2
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    • pp.162-179
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    • 2008
  • We have developed a tool for annotation of electronic health record (EHR) data. Currently we are in the process of manually annotating a corpus of Norwegian general practitioners' EHRs with mainly linguistic information. The purpose of this project is to attain a linguistically annotated corpus of patient histories from general practice. This corpus will be put to future use in medical language processing and information extraction applications. The paper outlines some of our practical experiences from developing such a corpus and, in particular, the effects of semi-automated annotation. We have also done some preliminary experiments with part-of-speech tagging based on our corpus. The results indicated that relevant training data from the clinical domain gives better results for the tagging task in this domain than training the tagger on a corpus form a more general domain. We are planning to expand the corpus annotations with medical information at a later stage.

Processing Three Types of Korean Cleft Constructions in a Typed Feature Structure Grammar (유형화된 자질문법에서의 한국어 분열구문의 전산학적 처리)

  • Kim, Jong-Bok;Yang, Jae-Hyung
    • Korean Journal of Cognitive Science
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    • v.20 no.1
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    • pp.1-28
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    • 2009
  • The expression KES, one of the most commonly used words in the Korean language, has various usages. This expression is also used to express English-like cleft constructions. Korean seems to employ at least three different types of cleft constructions: predicational, identificational, and eventual. The paper tries to provide a constraint-based analysis of these three types of Korean cleft constructions and implement the analysis in the LKB(Linguistic Knowledge Building) system to check the feasibility of the analysis. In particular, the paper shows how a typed feature structure grammar, couched upon HPSG, can provide a robust basis for parsing Korean cleft constructions.

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Development of Foreign Language Fluency Diagnosis Tools For Brain Scientific Language Learning (뇌공학적 외국어 학습을 위한 외국어 능숙도 진단 도구 개발)

  • Lee, Sae-Byeok;Lee, Won-Gyu;Kim, Hyeon-Cheol;Jung, Soon-Young;Lim, Heui-Seok
    • The Journal of Korean Association of Computer Education
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    • v.13 no.1
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    • pp.37-44
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    • 2010
  • Recently, the scientific approach to brain engineering is actively being made for effective foreign language learning and diagnosis. In order to supplement the problem of preexistence paper exam, the study aimed to develop a tool for foreign language fluency diagnosis which based on brain engineering. The proposed tools in the paper indirectly measure the aspects of brain information processing by testing learners' 3 abilities of linguistic memory, comprehension, and language production in 5 different ways.

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An Emotion-based Image Retrieval System by Using Fuzzy Integral with Relevance Feedback

  • Lee, Joon-Whoan;Zhang, Lei;Park, Eun-Jong
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.683-688
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    • 2008
  • The emotional information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface. This paper proposes an emotion-based image retrieval method. In this method, user can choose a linguistic query among some emotional adjectives. Then the system shows some corresponding representative images that are pre-evaluated by experts. Again the user can select a representative one among the representative images to initiate traditional content-based image retrieval (CBIR). By this proposed method any CBIR can be easily expanded as emotion-based image retrieval. In CBIR of our system, we use several color and texture visual descriptors recommended by MPEG-7. We also propose a fuzzy similarity measure based on Choquet integral in the CBIR system. For the communication between system and user, a relevance feedback mechanism is used to represent human subjectivity in image retrieval. This can improve the performance of image retrieval, and also satisfy the user's individual preference.

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Analytical Tools for Ideological Texts in Critical Reading Instruction

  • Lee, Jong-Hee
    • English Language & Literature Teaching
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    • v.10 no.3
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    • pp.89-112
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    • 2004
  • This article examines the ways in which language can be exploited in the manipulation of the reader's interpretation of a text to make him/her take certain lines of thought according to the writer's persuasive intents. Such functions of language provide valid foundations to support the teaching of critical reading skills and to explore an adequate approach to discourse analysis. A pilot study was conducted to find out the extent to which the reader can be coaxed into thinking in some fashions guided by specific linguistic devices employed for ideological texts. Forty-seven subjects divided into two groups (humanities majors and natural science majors at undergraduate level) joined the two-fold questionnaire surveys intended to look at their critical reading abilities. The empirical results indicate that college students whose majors are humanities were more inclined to take a holistic approach in processing commercial advertisement texts and their abilities for critical interpretation appeared to be lower than those of the subjects whose majors are natural sciences, who showed a relatively high tendency to take an analytical approach in decoding the textual facts. As a consequence, pedagogic implications for increasing critical reading abilities have resulted in a set of analytical procedures concerning ideological texts which is linked with instructional guidelines to emphasize the importance of the reader's logical and analytical reasoning power, entirely accepted as a general prerequisite for cracking the covert language gambits.

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Intonational Pattern Frequency of Seoul Korean and Its Implication to Word Segmentation

  • Kim, Sa-Hyang
    • Speech Sciences
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    • v.15 no.2
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    • pp.21-30
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    • 2008
  • The current study investigated distributional properties of the Korean Accentual Phrase and their implication to word segmentation. The properties examined were the frequency of various AP tonal patterns, the types of tonal patterns that are imposed upon content words, and the average number and temporal location of content words within the AP. A total of 414 sentences from the Read speech corpus and the Radio corpus were used for the data analysis. The results showed that the 84% of the APs contained one content word, and that almost 90% of the content words are located in AP-initial position. When the AP-initial onset was not an aspirated or tense consonant, the most common AP patterns were LH, LHH, and LHLH (78%), and 88% of the multisyllabic content words start with a rising tone in AP-initial position. When the AP-initial onset was an aspirated or tense consonant, the most common AP patterns were HH, HHLH, and HHL (72%), and 74% of the multisyllabic content words start with a level H tone in AP-initial position. The data further showed that 84.1% of APs end with the final H tone. The findings provide valuable information about the prosodic pattern and structure of Korean APs, and account for the results of a previous study which showed that Korean listeners are sensitive to AP-initial rising and AP-final high tones (Kim, 2007). This is in line with other cross-linguistic research which has revealed the correlation between prosodic probability and speech processing strategy.

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Position Control of The Robot Manipulator Using Fuzzy Logic and Multi-layer Neural Network (퍼지논리와 다층 신경망을 이용한 로봇 매니퓰레이터의 위치제어)

  • Kim, Jong-Soo;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.2 no.1
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    • pp.17-32
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    • 1992
  • The multi-layer neural network that has broadly been utilized in designing the controller of robot manipulator possesses the desirable characteristics of learning capacity, by which the uncertain variation of the dynamic parameters of robot can be handled adaptively, and parallel distributed processing that makes it possible to control on real-time. However the error back propagation algorithm that has been utilized popularly in the learning of the multi-layer neural network has the problem of its slow convergence speed. In this paper, an approach to improve the convergence speed is proposed using the fuzzy logic that can effectively handle the uncertain and fuzzy informations by linguistic level. The effectiveness of the proposed algorithm is demonstrated by computer simulation of PUMA 560 robot manupulator.

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Extraction of Informative Features for Automatic Indexation of Human Sensibility Ergonomic Documents (감성공학 문서 데이터의 지표 자동화를 위한 코퍼스 분석 기반 특성정보 추출)

  • 배희숙;곽현민;채균식;이상태
    • Science of Emotion and Sensibility
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    • v.7 no.2
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    • pp.133-140
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    • 2004
  • A large number of indices are produced from human sensibility ergonomic data, which are accumulated by the project "Study on the Development of Web-Based Database System of Human Sensibility and its Support". Since the research in this field will be increased rapidly, it is necessary to automate the index processing of human sensibility ergonomic data. From the similarity between indexation and summarization, we propose the automation of this process. In this paper, we study on extraction of keywords, information types and expression features that are considered as basic elements of following techniques for automatic summarization: classification of documents, extraction of information types and linguistic features. This study can be applied to automatic summarization system and knowledge management system in the domain of human sensibility ergonomics.rgonomics.

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On the Application of Fuzzy Control to Ship's Stering System (선박의 퍼지 제어에 관한 연구)

  • 임봉택;이철영
    • Journal of the Korean Institute of Navigation
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    • v.14 no.4
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    • pp.17-30
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    • 1990
  • Since L.A. Zadeh introduced the theory of fuzzy sets in 1965, E.H. Mamdani applied the theory to the steam engine control in 1974. Since then, scientists have shown a great deal of interests in its application to practical problems and the possibility of the application of the theory a more complicate system has been increasing greatly. In the fuzzy control, the qualitative knowledge and intuition that the operators of a system has acquired through their experience can be logically described by the Linguistic Control Rule(LCR). The algorithm of th control is made of the LCR, and th control of an object is performed by processing this algorithm implementing a computer. in this thesis, the fuzzy controller of the ship's steering system is devided into two systems, namely FC1 and FC2, according to their control function. FC1 is for the course keeping steering, wheress FC2 is for the altering of s ship's course. The characteristics of the control system were investigated through the digital computer simulation and the results were compared with those of the conventional steering system. It was found that the fuzzy control was more efficient than the conventional auto pilot system.

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Design of Real-Time Video System for Mathematics Education (수학교육을 위한 화상교육 시스템의 설계)

  • Park, Ji Su;Choi, Beom Soon
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.1
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    • pp.29-34
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    • 2021
  • The real-time video education is used as an effective method of operating classes that replaces face-to-face education of instructors and learners in remote areas. However, the existing video call and video conferences system is mainly used, and this is effective in linguistic education because it focuses on lecture through video, but it is not utilized in other education. In this paper, we propose a design model of real-time video system that can improve the effectiveness of science curriculum and mathematics education by providing the functions that can be utilized during class by improving limitations of image - oriented image education.