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An Efficient Learning of Context-free Grammars for Bottom-up Parsers
Yasubumi Sakakibara
Shin Sedai Konpyūta Gijutsu Kaihatsu Kikō (Japan)
出版
Institute for New Generation Computer Technology
, 1988
URL
http://books.google.com.hk/books?id=AzX6HAAACAAJ&hl=&source=gbs_api
註釋
Furthermore for a practical use, we require that the grammar should be learned from positive-only examples and the grammar should be learned efficiently. To achieve those requirements, we present an efficient algorithm for learning a context-free grammar from positive examples of structural descriptions. Structural descriptions of a context-free grammar are unlabelled parse trees of the grammar, the shapes of parse trees. Thus the input to the learning algorithm is a finite set of shapes of parse trees. We show that the learning algorithm learns a grammar which is structurally equivalent to the unknown grammar and achieves the polynomial time bound."