HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Learning Tree Languages from Positive Examples and Membership Queries

Jérôme Besombes 1 Jean-Yves Marion 1
1 CALLIGRAMME - Linear logic, proof networks and categorial grammars
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We investigate regular tree languages exact learning from positive examples and membership queries. Input data are trees of the language to infer. The learner computes new trees from the inputs and asks to the oracle whether or not they belong to the language. From the answers, the learner may ask further membership queries until he finds the correct grammar that generates the target language. This paradigm was introduced by Angluin in the seminal work [1] for the case of regular word language. Neither negative examples, equivalence queries nor counter examples are allowed in this paradigm. We describe an efficient algorithm which is polynomial in the size of the examples for learning the whole class of regular tree languages. The convergence is insured when the set of examples contains a representative sample of the language to guess.
Document type :
Conference papers
Complete list of metadata

Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:55:57 PM
Last modification on : Friday, February 4, 2022 - 3:31:01 AM


  • HAL Id : inria-00101084, version 1



Jérôme Besombes, Jean-Yves Marion. Learning Tree Languages from Positive Examples and Membership Queries. 15th international conference on Algorithmic Learning Theory - ALT'2004, 2004, Padova, Italy, pp.440-453. ⟨inria-00101084⟩



Record views