Learning Tree Adjoining Grammars from structures and strings

Open Access
Authors
Publication date 2012
Journal JMLR Workshop and Conference Proceedings
Event ICGI 2012: 11th International Conference on Grammatical Inference
Volume | Issue number 21
Pages (from-to) 129-132
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We investigate the learnability of certain subclasses of tree adjoining grammars (TAGs). TAGs are based on two tree-tree operations, and generate structures known as derived trees. The corresponding strings form a mildly context-sensitive language. We prove that even very constrained subclasses of TAGs are not learnable from structures (derived trees) or strings, demonstrating that this type of problem is far from trivial. We also demonstrate that a large (parameterized) family of classes of TAGs is learnable from strings.
Document type Article
Note International Conference on Grammatical Inference, 5-8 September 2012, University of Maryland, College Park, MD, USA. Editors: J. Heinz, C. de la Higuera, T. Oates
Language English
Published at http://www.jmlr.org/proceedings/papers/v21/florencio12a/florencio12a.pdf
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florencio12a (Final published version)
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