Tatsuo Yamashita

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This paper proposes a framework of language independent morphological analysis and mainly concentrate on tokenization, the first process of morphological analysis. Although tokenization is usually not regarded as a difficult task in most segmented languages such as English, there are a number of problems in achieving precise treatment of lexical entries. We(More)
Corpus-based learning methods for natural language processing now provide a consistent way to achieve systems with good performance. A number of statistical learning models have been proposed and are used in most of the tasks which used to be handled by rule-based systems. When the learning systems come to such a level as competitive as manually constructed(More)
Monoclonal antibodies to membrane antigens of human small cell carcinoma of the lung were produced by fusion of P3X63/ Ag8U1 mouse myeloma cells with spleen cells from BALB/c mice immunized against the intact cells of the small cell carcinomas grown in BALB/c nude mice. The hybrids were screened for antibody production using intact cells in a solid-phase(More)
OBJECTIVES The purpose of this study was to validate a patch-based image denoising method for ultra-low-dose CT images. Neural network with convolutional auto-encoder and pairs of standard-dose CT and ultra-low-dose CT image patches were used for image denoising. The performance of the proposed method was measured by using a chest phantom. MATERIALS AND(More)
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