Translation by Understanding: A Machine Translation System LUTE

This palDer prcsents a linguistic model for language understanding and describes its application to an cxpcrinmntal machine translation system called LUTE. The language undcrstandint{ modcl is an interactive model betwcen the memory structure and a text. The memory structure is hierarchical and represented in a fi'amemctwork. Linguistic and non-liuguistic knowledge is stored and the result of understanding the text is assimilated into the memory structure. The understanding process is interactive in that the text invokes knowledge and the understanding proccdure interprets the text by using that knowledge. A linguistic model, called the Extended Case Structure model, is defined by adopting three kinds of information: structure, relation and concept. These three are used rccm'sively and itcraLively as the basis for memory organization. These principles are appllcd to the design and implementation of the LUTE which translatcs Japanese into English and vice versa

<Note>Classified Characters of Wood Quality in the Junvenile Stage of Cultivars of Japanese Cedar

この論文は国立情報学研究所の学術雑誌公開支援事業により電子化されました。Nine wood quality indicators are compared with three groups of growth rates and three types of load-deflection curves in bending on 36 cultivars of juvenile Japanese cedar (Cryptomeria japonica D. Don). The fast-grown trees have shorter tracheids. In the load-deflection type having the large plastic region, tracheid length is shorter and fibrils lie more flatly and bending modulus of elasticity is lower on the same specific gravity as in other two load-deflection types. The trees in this type, therefore, seem to be more juvenile. Moreover, much proportion of the trees in this type belongs to the fast-grown group. Then, by all meams, the precise information of wood quality is necessary for the utilization of fast-grown cultivars