We also attempt to summarize multiple Japanese articles into one document with non-parsing approach. We can hardly find studies on summarization of multiple texts. One of the reason is that the task is believed to be a next step of single text summarization. However, the processing of the multiple text summarization has some advantages to realize, one of which is that there are overlapped areas to delete if input texts are related each other. Thus we delete the overlapped parts among the input texts.
Japanese grammar is considerably free in word order and allows high abridgement.
This research also aims at coping with these phenomena. We have implemented a prototype system of summarization and had some experiments. We use a thesaurus to group all the terms appeared in the texts by their meaning. The result of open-test experiments is reported against Japanese columns which clarifies the efficacy of the proposed classification method.