Abstract
Electrical bulletin board news can be seen in the Shinkansen trains or streets.Their news are short, simple, and concentrated.We present in this paper some expressions often appeared in the bulletin board.For example, at the end of the news sentence we can often see a noun or a case particle, which are not a usual sentence in the newspaper.We first show that this observation is true, investigating over twenty thousands articles of the real bulletin board news: a verbal noun appears eight times larger than an ordinal news paper, and a case particle twenty times larger.We then propose and implement a method of shortning sentence ends into these described above, and evaluate the method.Our evaluation results shows that the summarization rate of the sentence ends are appoximately 12%, and 2.50 characters are deleted on average for one sentence.This power of deletions is approximately as same as that human does.Moreover, we have verified by human judge that the correctness of output expressions is 95%.