Yasuyoshi Inagaki

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This paper proposes a method of speech intention understanding based on dialogue examples. The method uses a spoken dialogue corpus with intention tags to regard the intention of each input utterance as that of the sentence to which it is the most similar in the corpus. The degree of similarity is calculated according to the degree of correspondence in(More)
This paper describes the characteristic features of dependency structures of Japanese spoken language by investigating a spoken dialogue corpus, and proposes a stochastic approach to dependency parsing. The method can robustly cope with inversion phenomena and bunsetsus which don’t have the head bunsetsu by relaxing the syntactic dependency constraints. The(More)
This paper proposes a system of retrieving English sentences by utilizing linguistically structural information. The userpsilas query consists of a sequence of keywords. The system automatically identifies dependency relations between occurrences of the keywords in sentences and classifies the sentences according to those dependency relations. The system(More)
The spread of short distance wireless communication technology is making it possible for various information appliances to communicate through a network. However, to connect and to use them, we must generally perform complicated setup operations such as setting addresses or names. In this paper, we propose a user-friendly connecting management framework(More)
Abstract This paper describes a large-scale bilingual corpus of spoken monologues and their simultaneous interpretation, which has been constructed at CIAIR. The corpus has the following characteristics: (1) English and Japanese speeches are recorded in parallel, (2) the data contains monologue speeches such as lecture and self-introduction, and (3) the(More)