H. Fernau. Learning xml grammars. In Machine Learning and Data Mining in Pattern Recognition MLDM'01, number 2123 in LNCS, pages 73-87, 2001. Home/Search Document Details and Download
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Learning Languages with Help - Kermorvant, Higuera (2002) (Correct)
.... (for instance rules that state that a person has two parents one of which is male and the other female) This type is used to avoid testing for impossible merges (a man with a woman) A stochastic version (learning stochastic logic programs by means of stochastic tree automata) is proposed in [2] [10] suggests the task of learning XML grammars from positive data. A very general XML grammar is known, and the idea is to nd a better tting grammar (but that takes into account the general one) In the next section, de nitions will be given for the paper to be self contained. The inference of ....
H. Fernau. Learning xml grammars. In Machine Learning and Data Mining in Pattern Recognition MLDM'01, number 2123 in LNCS, pages 73-87, 2001.
On Sufficient Conditions to Identify in the Limit Classes of.. - Higuera, Oncina (2002) (Correct)
....reach of the regular patterns: stacks, palindromes, parenthesis. Grammatical inference will only be able to tackle a certain number of applications if it can cope with some form of context free grammars. This is probably even more the case with recent applications such as: XML grammars [Fer01]. XML documents can be described by special sorts of context free grammars. Learning such grammars would enable to find specific documents type definitions for certain XML documents. In computational linguistics it is generally argued that the structure of natural language cannot be ....
H. Fernau. Learning XML grammars. In P. Perner, editor, Machine Learning and Data Mining in Pattern Recognition MLDM'01, number 2123, pages 73--87. Springer-Verlag, 2001.
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