Using a lattice to enhance adaptation guided retrieval in Example Based Machine Translation

dc.contributor.author	Serutla, SL
dc.contributor.author	Oosthuizen, GD
dc.contributor.editor	Venter, L
dc.contributor.editor	Lombard, R.R.
dc.date.accessioned	2018-08-17T10:32:02Z
dc.date.available	2018-08-17T10:32:02Z
dc.date.issued	2000
dc.identifier.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)	en
dc.identifier.isbn	1-86822-300-0
dc.identifier.uri	http://hdl.handle.net/10500/24681
dc.description.abstract	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.	en
dc.language.iso	en	en
dc.title	Using a lattice to enhance adaptation guided retrieval in Example Based Machine Translation	en