Katsuhiko Yuura

A Kana-Kanji translation system for non-segmented input sentences based on syntactic and semantic analysis

This paper presents a disambiguation approach for translating non-segmented-Kana into Kanji. The method consists of two steps. In the first step, an input sentence is analyzed morphologically and ambiguous morphemes are stored in a network form. In the second step, the best path, which is a string of morphemes, is selected by syntactic and semantic analysis based on case grammar. In order to avoid the combinatorial explosion of possible paths, the following heuristic search method is adopted. First, a path that contains the smallest number of weighted-morphemes is chosen as the quasi-best path by a best-first-search technique. Next, the restricted range of morphemes near the quasi-best path is extracted from the morpheme network to construct preferential paths.An experimental system incorporating large dictionaries has been developed and evaluated. A translation accracy of 90.5% was obtained. This can be improved to about 95% by optimizing the dictionaries.

Case studies to evaluate a domain specific application framework based on complexity and functionality metrics

Abstract An object-oriented framework is the reusable design or a system or subsystem implemented through a collection of concrete and abstract classes and their collaboration. It provides a generic solution to a set of similar problems in an application domain. However, it is difficult to introduce it to the organization that has been using a traditional reuse method. For effective technology transfer, the usefulness of the framework should be evaluated and shown to the organization. This paper evaluates the usefulness of a domain specific business application framework from a viewpoint of saving cost and quality of the software in a company. Here, we conducted two case studies. In the case studies, four kinds of applications are developed. Each of them is developed in two ways: using framework-based reuse and conventional module-based reuse. Then, we evaluate the difference among them using the several functionality and complexity metrics. As the results, the framework-based reuse would be more efficient than the module-based reuse in the company.

Evaluation of a Business Application Framework Using Complexity and Functionality Metrics

This paper experimentally evaluates the usefulness of a business application framework from a viewpoint of saving cost and quality of the software in a company. Here, we conducted two case studies. In the case studies, four kinds of applications are developed. Each of them is developed in two ways: using framework-based reuse and conventional module-based reuse. Then, we evaluate the difference among them using the several functionality and complexity metrics. As the results, the framework-based reuse would be more efficient than the module-based reuse in the company.