Development of a method for automatic basso continuo playing

The purpose of this study is to develop an automatic basso continuo playing system. In order to find a musically appropriate sequence of chords, we propose the principle of “harmony cost”, which is defined as the sum of two different costs: one is the “local cost” which indicates the unlikelihood of a certain chord allocation and the other is the “transition cost”, which indicates the unlikelihood of a certain connection between two chords. Automatic basso continuo playing is realised by searching for the optimal chord sequence, which minimises the accumulated harmony cost. The proposed method is evaluated by three experiments. Each experiment verifies the effectiveness of the proposed method.     

Enumeration of briefly presented items by the chimpanzee (<Emphasis Type="Italic">Pan troglodytes</Emphasis>) and humans (<Emphasis Type="Italic">Homo sapiens</Emphasis>)

In this study, we compared the performances on an enumeration task (numerical labeling task) of 1 chimpanzee (Pan troglodytes) and 4 humans. In this task, two types of trials, with different exposure durations of the sample that was to be enumerated, were used. In the unlimited-exposure trials, the sample remained on until the subject made a choice. In the brief-exposure trials, the sample was presented for 100 msec and then was masked. The results show clear differences between the different species. The main differences had to do with accuracy during the unlimited trials and response times during the brief trials. Detailed analyses of the pattern of response times for the chimpanzee and of looking-back behavior during the task suggests that the enumeration process underlying the subject’s performance was not counting but estimation.     

Word classification and hierarchy using co-occurrence word information

By the development of the computer in recent years, calculating a complex advanced processing at high speed has become possible. Moreover, a lot of linguistic knowledge is used in the natural language processing (NLP) system for improving the system. Therefore, the necessity of co-occurrence word information in the natural language processing system increases further and various researches using co-occurrence word information are done. Moreover, in the natural language processing, dictionary is necessary and indispensable because the ability of the entire system is controlled by the amount and the quality of the dictionary. In this paper, the importance of co-occurrence word information in the natural language processing system was described. The classification technique of the co-occurrence word (receiving word) and the co-occurrence frequency was described and the classified group was expressed hierarchically. Moreover, this paper proposes a technique for an automatic construction system and a complete thesaurus. Experimental test operation of this system and effectiveness of the proposal technique is verified.     

A compact static double-array keeping character codes

A trie represented by a double-array enables us to search a key fast with a small space. However, the double-array uses extra space to be updated dynamically. This paper presents a compact structure for a static double-array. The new structure keeps character codes instead of indices in order to compress elements of the double-array. In addition, the new structure unifies common suffixes and consists of less elements than the old structure. Experimental results for English keys show that the new structure reduces space usage of the double-array up to 40%.     

Multilingual opinion holder identification using author and authority viewpoints

Opinion holder identification research is important for discriminating between opinions that are viewed from different perspectives. We propose a new opinion holder identification method that is based on a differentiation between the author and authority viewpoints in opinionated sentences. In our method, the author- and authority-opinionated sentences were extracted, respectively, by utilizing the different features because their writing styles were different. Although the researchers have not focused on it, this differentiation is important for correctly identifying opinion holders. We describe our participation in the NTCIR-6 Opinion Analysis Pilot Task by focusing on the opinion holder identification results in Japanese and English. The evaluation results showed that our system performed fairly well with respect to Japanese documents, and postsubmission analysis has revealed that improvements could be made with respect to English documents as well.     

从唐圭璋先生的两封信看《全宋词》的编纂过程

唐圭璋先生早年致中田勇次郎先生的两封信，反映了唐先生编纂《全宋词》用力之勤、网罗之广、校勘之精谨以及中田先生的真诚合作，是近代日中学术交流的珍贵资料。     

Model Comparison in Regression

The instructor can help begining students master the numerous results of regression analysis by using helpful notation and by providing a framework for organising regression outputs. For the latter, model comparison is a useful operating notion.     

Dynamic robust optimal reorder point with uncertain lead time and changeable demand distribution

In fixed order quantity systems,uncertainty in lead time is expressed as a set of scenarios with occurrence probabilities,and the mean and variance in demand distribution are supposed to be changeable according to a known pattern.A new concept of ＂dynamic robust optimal reorder point＂ is proposed in this paper and its value is calculated as a ＂robust optimal reorder point function with respect to reorder time＂.Two approaches were employed in determining the dynamic optimal reorder point.The first is a shortage rate satisfaction approach and the second is a backorder cost minimization approach.The former aims at finding the minimum value of reorder point at each reorder time which satisfies the condition that the cumulative distribution function （CDF） of shortage rate under a given set of scenarios in lead time is greater than or equal to a basic CDF of shortage rate predetermined by a decision-maker.In the latter approach,the CDF of closeness of reorder point is defined at each reorder time to express how close to the optimal reorder points under the set of scenarios,and the dynamic optimal reorder point is defined according to stochastic ordering.Some numerical examples demonstrate the features of these dynamic robust optimal reorder points.