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1
Exploratory analysis of stylistic characteristics in Japanese Q&A communities
In: http://lexicometrica.univ-paris3.fr/jadt/jadt2010/allegati/JADT-2010-0355-0362_121-Suzuki.pdf
Abstract: This study is an exploratory analysis of the stylistic characteristics of text submitted to Japanese Q&A communities. Along with the development of social media, Q&A communities are attracting much scholarly attention as important resources for analyzing online communication. In Q&A communities, people freely submit questions and answers; questions are classified into subject categories; and the best answers are selected. In this study, we analyze the stylistic characteristics of three types of submission, i.e., questions, best answers, and normal answers, in two different subject categories, i.e., ‘personal computers and related devices ’ and ‘love and human relations advice’. The results show that the textual styles clearly distinguished these six classes of text and clarified their respective characteristics. Our findings provide useful knowledge about how people differ in their communication styles regarding subject categories and on how people select communication styles. This study will contribute to research into discovering current online communication styles.
Keyword: computational stylistics; Japanese Q&A communities; online communication styles
URL: http://lexicometrica.univ-paris3.fr/jadt/jadt2010/allegati/JADT-2010-0355-0362_121-Suzuki.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.3108
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2
Utilizing Semantic Equivalence Classes of Japanese Functional Expressions in Translation Rule Acquisition from Parallel Patent Sentences
In: http://www.mt-archive.info/LREC-2010-Nagasaka.pdf
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3
JADT 2010: 10 th International Conference on Statistical Analysis of Textual Data Co-occurrence-based indicators for investigating authors ’ styles
In: http://lexicometrica.univ-paris3.fr/jadt/jadt2010/allegati/JADT-2010-0363-0374_122-Suzuki.pdf
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4
Utilizing Semantic Equivalence Classes of Japanese Functional Expressions in Translation Rule Acquisition from Parallel Patent Sentences
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/696_Paper.pdf
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