Ease of retrieval is of crucial importance in case based reasoning (CBR). In fact, the
performance of a CBR system depends on how such a system is able to retrieve
relevant cases from memory and adapts them to suit new problem cases. This paper
suggests a method of enhancing the retrieval process of relevant cases from memory
by employing a lattice, which has potentially good indexing capabilities. It will be
shown that the method is well suited for Example Based Machine Translation
(EBMT), especially when the input is grammatically incorrect.
Citation:Serutla, S.L. & Oosthuizen, G.D. (1997) Using a lattice to enhance adaptation guided retrieval in Example Based Machine Translation. Proceedings of the 1997 National Research and Development Conference: Towards 2000, South African Institute of Computer Science and Information Technology), Riverside Sun, 13-14 November, 2000, edited by L.M. Venter and R.R. Lombard (PUCHEE, VTC)
Items in UNISA Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. Items may only be viewed and downloaded for private research and study purposes. Please acknowledge publications according to acceptable standards and norms.
