Inferring pure context-free languages from positive data

We study the possibilities to infer pure context-free languages from positive data. We can show that while the whole class of pure context-free languages is not inferable from positive data, it has interesting subclasses which have the desired inference property. We study uniform pure languages, i.e...

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Bibliographic Details
Main Authors: Koshiba Takeshi
Mäkinen Erkki
Takada Yuji
Format: Article
Published: 2000
Series:Acta cybernetica 14 No. 3
Kulcsszavak:Számítástechnika, Kibernetika
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Online Access:http://acta.bibl.u-szeged.hu/12639
Description
Summary:We study the possibilities to infer pure context-free languages from positive data. We can show that while the whole class of pure context-free languages is not inferable from positive data, it has interesting subclasses which have the desired inference property. We study uniform pure languages, i.e., languages generated by pure grammars obeying restrictions on the length of the right hand sides of their productions, and pure languages generated by deterministic pure grammars.
Physical Description:469-477
ISSN:0324-721X