• Asia Pacific Journal of Corpus Research
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• v.3 no.2
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• pp.1-16
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• 2022

This study investigates the cooccurrence between temporal adverbs and grammatical tenses in Spanish and contrasts temporal specifications across Spanish, English, and Chinese. Based on a monolingual Spanish corpus and a trilingual parallel corpus, the study identified the top ten frequent single-word temporal adverbs collocating with grammatical tenses in Spanish. It also contrasted the cooccurrence of temporal adverbs and verb tenses in three languages. The results show that aun 'still', hoy 'today', and ahora 'now' collocate with the present tense at more than 80%. Ayer 'yesterday' and finalmente 'finally' cooccurring with the simple past tense are at 84% and 69%, respectively. Then, mientras 'meanwhile' collocates with the past imperfect at 55%, the highest of all. Mañana 'tomorrow' cooccurs with the future and present tenses at 34%. Other adverbs, ya 'already', siempre 'always', and nuevamete 'again', do not present a strong cooccurrence tendency with a tense overall. The contrastive analysis of the trilingual parallel corpus shows a comprehensive view of temporal specifications in the three languages. However, no clear one-to-one mapping pattern of the cooccurrence across the three languages can be concluded, which provides helpful insights for second language instruction with natural language data rather than intuition. Future research with larger corpora is needed.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.100-105
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• 1992

Texture is one of the important characteristics that has been used to identify objects or regions of interest in an image. Tire tread patterns can be considered as a kind of texture, and these are classified with a texture analysis method. In this sense, this paper proposes a new algorithm for the classification of tire tread pattern. For the classification, cooccurrence matrix for the binary image is used. The performances are tested by experimentally 8 different tire tread pattern and the robustness is examined by including some kinds on noise.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.281-294
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• 2004

Association measures are applied to various applications, including information retrieval and data mining. Each association measure is subject to a close examination to its tendency to prefer high or low frequency level because it has a significant impact on the performance of applications. This paper examines the frequency level preference(FLP) tendency of some popular association measures using artificially generated cooccurrence data, and evaluates the results. After that, a method of how to adjust the FLP tendency of major association measures such as cosine coefficient is proposed. This method is tested on the cooccurrence-based query expansion in information retrieval and the result can be regarded as promising the usefulness of the method. Based on these results of analysis and experiment, implications for related disciplines are identified.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1998.03a
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• pp.316-322
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• 1998

Super precision working technique and machine tool have been developing continually thanks to advanced electronic field. To obtain good result. it is necessary to investigate surface state in grinding with ${\mu}{\textrm}{m}$ level. There were so many researches to satisfy these demands using non-contact methods through the computer vision. In this study, the texture of working surface was analyzed. cooccurrence matrice was obtained from the surface roughness. Texture parameter was obtained by means of position operator compose of $\theta$. d according to variation of angle direction and distance. As a result, it was found that surface texture was more effected by direction ($\theta$) then distance(d).

• Korean Journal of Cognitive Science
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• v.6 no.3
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• pp.65-81
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• 1995

Compound nouns as a composition of multiple nouns exhibit diverse occurence patterns in the texts and have varying degree of meaning coherence.The problem of compound nouns in information retrieval is to find a method to represent and identify the compositive patterns of each words.This paper explains how the cooccurrence patterns are related with the meaning of each compound noun and the information of such relations that can be mechanically acquired from texts is used in ranking the candidated documents for a given query.The main theme of the paper is that compound nouns can be categorized according to their occurrence patterns of simple nouns and these occurrence patterns can be formalized by statistical analysis without large dictionary or complex compositive rules.Our suggested model achieved about 7.75% improvement over the best precision of the other methods at each recall measurements on Korean test collection.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.11-18
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• 2009

The purpose of this study was, first, to extract the risk factor by investigating several cases of accident of senile dementia patient at home, and second, based on these results to provide basic information for the determination of monitoring factor for the care of senile dementia patient. Basic and behavioral characteristics, Short form of Samsung Dementia Questionnaire (S-SDQ), Activities of Daily Living (ADL), and cases of accident were investigated with 55 senile dementia patient at home (16 male, 39 female). Based on these questionnaires, risk factors were extracted and frequency, cooccurrence frequency, and occurring place of risk factors, presence or not, region, and degree of injury were investigated. Frequency between risk factors and behavioral characteristics, ADL, and S-SDQ was analyzed by crosstabulation frequency analysis. Results showed that 12 risk factors were extracted, and the frequency of 'going out' was the highest, and risk factors for injury were 'tumble', 'bump', 'slip', and 'fall'. Cooccurrence frequency analysis showed that the occurrence of 'fall', 'going out', 'fire of gas', and 'violence' with other factors was relatively higher than others. The occurring place of risk factor was the highest in home neighborhood, and the region of injury in knee, and the degree of injury with bruise. Crosstabulation frequency analysis showed that factors which had difference in frequency of risk factor were behavioral disorder, disorder of daily living and ADL. Factor which had difference in frequency due to the degree of behavioral disorder and disorder of daily living was 'going out', and factors which had difference in frequency due to the degree of ADL were 'slip' and 'fire of gas'.