As a first step towards building automatic text evaluation technology using artificial intelligence, especially haiku evaluation technology, a system that extracts seasonal words from haiku is implemented. The conventional extraction method used partial matching with the seasonal word database on the Internet. This method cannot identify some seasonal words that are combinations of nouns and verbs, so improvements are needed. The implemented system was created to solve the problem of seasonal word identification using partial matching, and its application to automatic generation of critical sentences is also being considered in the future. To improve accuracy, morphological analysis and similarity searches using historical kana usage was employed in this system. As a result of the evaluation, it was found that the system could identify seasonal words more reliably than amateur students. However, this system still has some drawbacks and requires many improvements.

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Recently, the government and municipality works on the landscape improvement of the port in which it gave priority to industrial function. Then, in this research, first, it grips the composition element of impressive port environment from Japanese poem, and based on it, evaluate the space composition and possibility of landscape regeneration in the HAKATA port. Concretely, it set up 15 areas based on the mouth of a river valley, and, investigate the space composition of port landscape in this areas. The port landscape element is set as greenery zone, waterside line, beach, and mooring facilities etc based on having gripped Japanese poem and possibility of landscape regeneration. Then, it evaluate the space composition of port landscape in this areas according to those existence rates. As a result, it show the feature of the area, for instance, area in which greenery zone specialized, or where a lot of ships are seen.

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