Learning and Extending Sublanguages
Author(s) -
Sanjay Jain,
Efim Kinber
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/11894841_14
Subject(s) - learnability , recursively enumerable language , computer science , monotonic function , artificial intelligence , constraint (computer aided design) , natural language processing , natural language , grammar , programming language , theoretical computer science , linguistics , mathematics , algorithm , mathematical analysis , philosophy , geometry
A number of natural models for learning in the limit is introduced to deal with the situation when a learner is required to provide a grammar covering the input even if only a part of the target language is available. Examples of language families are exhibited that are learnable in one model and not learnable in another one. Some characterizations for learnability of algorithmically enumerable families of languages for the models in question are obtained. Since learnability of any part of the target language does not imply monotonicity of the learning process, we consider also our models under additional monotonicity constraint.
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