Full-text search on multi-byte encoded documents

The Burrows Wheeler transform (BWT) has become popular in text compression, full-text search, XML representation, and DNA sequence matching. It is very efficient to perform a full-text search on BWT encoded text using backward search. This paper aims to study different approaches for applying BWT on multi-byte encoded (e.g. UTF-16) text documents. While previous work has studied BWT on word-based models, and BWT can be applied directly on multi-byte encodings (by treating the document as single-byte coded), there has been no extensive study on how to utilize BWT on multi-byte encoded documents for efficient full-text search. Therefore, in this paper, we propose several ways to efficiently backward search multi-byte text documents. We demonstrate our findings using Chinese text documents. Our experiment results show that our extensions to the standard BWT method offer faster search performance and use less runtime memory.