Integrating Query Translation and Text Classification in a Cross-Language Patent Access System

In this paper, a cross-language patent retrieval and classification system is presented to integrate the query translation using various free web translators on the internet and the document classification. The language-independent indexing method was used to process the multilingual patent documents, and the query translation method was used to translate the query from the source language to the target language. The mono-lingual and cross-lingual retrieved patent documents would be processed to classify the research papers (the queries) in terms of the International Patent Classification (IPC). The results indicate that the performance of the cross-lingual text classification reached almost the same level of the mono-lingual text classification.