UNITRAN: A Principle-Based Approach to Machine Translation

dc.creator	Dorr, Bonnie Jean
dc.date	2004-10-20T20:10:58Z
dc.date	2004-10-20T20:10:58Z
dc.date	1987-12-01
dc.date.accessioned	2013-10-09T02:47:58Z
dc.date.available	2013-10-09T02:47:58Z
dc.date.issued	2013-10-09
dc.identifier	AITR-1000
dc.identifier	http://hdl.handle.net/1721.1/6963
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Machine translation has been a particularly difficult problem in the area of Natural Language Processing for over two decades. Early approaches to translation failed since interaction effects of complex phenomena in part made translation appear to be unmanageable. Later approaches to the problem have succeeded (although only bilingually), but are based on many language-specific rules of a context-free nature. This report presents an alternative approach to natural language translation that relies on principle-based descriptions of grammar rather than rule-oriented descriptions. The model that has been constructed is based on abstract principles as developed by Chomsky (1981) and several other researchers working within the "Government and Binding" (GB) framework. Thus, the grammar is viewed as a modular system of principles rather than a large set of ad hoc language-specific rules.
dc.format	40098641 bytes
dc.format	32491738 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AITR-1000
dc.title	UNITRAN: A Principle-Based Approach to Machine Translation

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