An efficient method for using machine translation technologies in cross-language patent search

Topics in prior-art patent search are typically full patent applications and relevant items are patents often taken from sources in different languages. Cross language patent retrieval (CLPR) technologies support searching for relevant patents across multiple languages. As such, CLPR requires a translation process between topic and document languages. The most popular method for crossing the language barrier in cross language information retrieval (CLIR) in general is machine translation (MT). High quality MT systems are becoming widely available for many language pairs and generally have higher effectiveness for CLIR than dictionary based methods. However for patent search, using MT for translation of the very long search queries requires significant time and computational resources. We present a novel MT approach specifically designed for CLIR in general and CLPR in particular. In this method information retrieval (IR) text pre-processing in the form of stop word removal and stemmin...

• Type: Journal
• Year: 2011
• Where: CIKM
• Authors: Walid Magdy, Gareth J. F. Jones
• Keywords: CIKM 2011, Information Storage And Retrieval, Information Technology, Language Information Retrieval, Patent Retrieval