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1992
2003
本論文では、言語習得・使用に関する規則の種類を整理し、Chomskyの言語哲学とも、私たちの日常的体験とも整合する規則論を提示し、第二言語習得におけるコミュニケーション経験の必然性について論考する。1ではKrashen以降の規則論を検討し、(1)「コミュニケーションの学びは、基本的にはコミュニケーションを重ねることではないのか」、(2)「形と意味を結びつける規則には意識的なものもあるのではないのか」という問題点を提示する。2では(2)の問題点を解決する新しい規則論を展開する。3では「発話規則」の実践上の問題を考える中で、(1)の主張が、単なるトートロジーを超えて、正しく妥当なものであることを論証する
Bulletin of Faculty of the Education Hiroshima University Part 1 Educational Research, 1994
Transactions of the Japanese Society for Artificial Intelligence, 2010
In this study, we investigated the relationship between phases of meeting and non-verbal speech information. We considered that conversations at the meeting must show information to phases of the meeting as non-verbal features. We attempted to discriminate between the divergence phase and the convergence phase by the decision tree method using only non-verbal speech information. We performed an experiment with a group task based on a modification of the game Twenty-Questions and recorded participants' speech data. In a discrimination test, we used the recorded speech, and defined non-verbal speech features such as switching pauses (i.e. silent intervals between the utterance of two speakers), frequency for each turn-taking pattern and duration. We conducted the two discrimination tests for using parameters with friends group, with strangers group and with both groups. From the results, the accuracy of the open test is 77.3%, 85.2% and 77.3%, respectively. Taking into account only non-verbal speech information was used, we consider these results to be fairly good.
The Annals of the Research Project Center For the Comparative Study of Logic, 2008
1988
This paper consists of a Japanese translation of Patanjali's Mahabhasya ad P 1. 3. 1 bhuvadayo dhatavah and the Prodipa, a commentary on it by Kaiyata, together with a brief exposition of my own.
The Hiroshima University Studies Faculty of Letters, 1995
The Hiroshima University Studies Faculty of Letters, 1994
Journal of the Japanese Institute of Landscape Architects, 1983
2004
Nowadays, information distribution via websites is one of the most important issues. Therefore, website administrators are required to understand access trends of the websites properly. In our previous work, we have proposed a method for mining access logs with LCS (Longest Common Subsequences) to extract frequent access sequences. We have also proposed two approaches to improve the performance. In this paper, we achieve more improvement by parallel processing and incremental mining for analyzing larger access logs. We evaluate the efficiency of the approaches using access logs of a real website.
The Hiroshima University Studies Faculty of Letters, 1992
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