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Learning Structural Descriptions of Grammar Rules from Examples

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Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .

Abstract

This . paper descnbes a LISP program that can learn English syntactic rules. The key idea is that the learn mg. cau be nude easy, g1vrn the right initial computational structure: syntactic knowledge is separated mto a fon·d mtrrprctcr and a variable set of h1ghly constramed pattern-action grammar rules. Only the gramma1 rulf's arc learned. via mduct1on from example sentences presented to . the program. The Interpreter is a s1mpllf1ed vers1on of Marcus's parser for English [1). which parses sentences without backup. The currently Implemented program acquires about 701. of a s1mplihed core grammar of English. What seems to makr the mductJon easy 1s that the rule structures and their actions are highly constrained: there are only four actions, ;~nd they manipulate only very local parts of the parse tree.

Robert C. Berwick. 1979. Learning Structural Descriptions of Grammar Rules from Examples. In Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79. IJCAI, https://ijcai.org/proceedings/1979/15
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