Knowlaedge information analysis of Historical Document Understanding

在本研究项目中，我们研究了以下四个研究主题：（1）建立历史文献理解的知识结构;（2）利用我们的历史文字OCR词典进行历史文字识别的研究;（3）开发历史文字识别词典;（4）开发了一个计算机化的历史人物词典原型系统。（1）我们开发了一个历史语料库，分析了大量的借贷合同，300个文档和243，000个字符。从文档中提取常用和频繁表达。利用这些数据，我们开发了一个基于n-gram方法的历史文献分析支持系统原型。通过可用性测试，从统计学上证实了界面的有效性。(2)我们开发了一些使用神经网络的历史字符识别方法。(3)除了（1）中描述的数据库之外，我们还制作了另一个由Tokyoudo Syoten出版的“Kuzushi-ji Kaidoku Jiten”历史人物数据库，这是标准词典之一。这本词典有25，000个字符。(4)我们做了一些基础性的研究，并制作了一个便携式电子词典的原型系统，它可以通过语音、字形和笔顺进行检索。

In this research project, we studied the following four research topics : (1) Structuring the knowledge of Historical Document Understanding, (2) Study of the Historical Chara cter Recognition using our Historical Character OCR dictionary, (3) Developing a Dictionary for Historical Character Recognition, and (4) Developing a proto-type system of a computer ized Historical Character Dictionary (1) We developed a Historical Corpus Database analyzing many loan contracts consists of 1, 300 documents and 243, 000 characters. The common and frequent expressions are extracted from the documents. By using the data, we developed a proto-type of Historical Document Analysis Supporting System using n-gram method. Through an usability test, efficiency of the interface is confirmed statistically. (2) We developed some Historical Character Recognition methods using neural network. (3) Besides the database described in (1), we made another Historical Character Database of "Kuzushi-ji Kaidoku Jiten" published from Tokyoudo Syoten, which is one of the standard dictionary. The dictionary includes 25, 000 characters. (4) We have done some basic studies and have made a proto-type system of portable electrical dictionary, which could be searched by pronunciation, shape, and stroke order.