Research and Implement of Automatic Patent Bilingual Corpus Extraction from Web——Taking esp@cenet as an Example
Wu Lin1 Wei Xing2 Huo Cuiting3
1（Institute of Scientific & Technical Information of China, Beijing 100038, China） 2（School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China） 3（Wanfang Data Co.Ltd, Beijing 100038, China）
This paper introduces the research of an available method to automatically extract high quality translation pairs from patent database for patent resources. It analyzes the features of URLs to extract detail Web pages of patent data for batch downloading, and then uses regular expression matches to extract necessary information from Web pages through page parsed. At last, it makes bilingual parallel corpus after merging data.
吴琳,魏星,霍翠婷. 基于Web的专利双语语料自动获取研究及实现*——以esp@cenet数据库为例[J]. 现代图书情报技术, 2009, (9): 57-63.
Wu Lin,Wei Xing,Huo Cuiting. Research and Implement of Automatic Patent Bilingual Corpus Extraction from Web——Taking esp@cenet as an Example. New Technology of Library and Information Service, 2009, (9): 57-63.
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