Experiments in Japanese text retrieval and routing using the NEAT system
Gareth J. F. Jones, Tetsuya Sakai, Masahiro Kajiura, Kazuo Sumita · 1998
This paper describes a structured investigation into the retrieval of Japanese text.The study includes a comparison of different indexing strategies for documents and queries, investigation of term weighting strategies principally derived for use with English texts, and the application of relevance feedback for query expansion.Results on the standard BMIR-Jl and BMIR-J2 Japanese retrieval collections indicate that term weighting transfers well to Japanese text.Indexing using dictionary based morphological analysis and character strings are both shown to be individually effective, but marginally better in combination.We also demonstrate that relevance feedback can be used effectively for query expansion in Japanese routing applications.