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Learning correction grammars

Published online by Cambridge University Press:  12 March 2014

Lorenzo Carlucci ,
John Case  and
Sanjay Jain
Lorenzo Carlucci
Affiliation:
Università di Roma“La Sapienza”, Department of Computer Science, Via Salaria 113, 00198, Roma Scuola Normale Superiore di Pisa, Classe di Lettere, Piazza dei Cavalieri7, 56126 Pisa, E-mail: [email protected]
John Case
Affiliation:
University of Delaware, Department of Computer and Information Sciences, Newark, De 19716-2586, U.S.A., E-mail: [email protected]
Sanjay Jain
Affiliation:
National University of Singapore, Department of Computer Science, Singapore 117417. Republic of Singapore, E-mail: [email protected]
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Abstract

We investigate a new paradigm in the context of learning in the limit, namely, learning correction grammars for classes of computably enumerable (c.e.) languages. Knowing a language may feature a representation of it in terms of two grammars. The second grammar is used to make corrections to the first grammar. Such a pair of grammars can be seen as a single description of (or grammar for) the language. We call such grammars correction grammars. Correction grammars capture the observable fact that people do correct their linguistic utterances during their usual linguistic activities.

We show that learning correction grammars for classes of c.e. languages in the TxtEx-mode (i.e., converging to a single correct correction grammar in the limit) is sometimes more powerful than learning ordinary grammars even in the TxtBc-model (where the learner is allowed to converge to infinitely many syntactically distinct but correct conjectures in the limit). For each n ≥ 0. there is a similar learning advantage, again in learning correction grammars for classes of c.e. languages, but where we compare learning correction grammars that make n + 1 corrections to those that make n corrections.

The concept of a correction grammar can be extended into the constructive transfinite, using the idea of counting-down from notations for transfinite constructive ordinals. This transfinite extension can also be conceptualized as being about learning Ershov-descriptions for c.e. languages. For u a notation in Kleene's general system (O, <o) of ordinal notations for constructive ordinals, we introduce the concept of an u-correction grammar, where u is used to bound the number of corrections that the grammar is allowed to make. We prove a general hierarchy result: if u and v are notations for constructive ordinals such that u <ov. then there are classes of c.e. languages that can be TxtEx-learned by conjecturing v-correction grammars but not by conjecturing u-correction grammars.

Surprisingly, we show that—above “ω-many” corrections—it is not possible to strengthen the hierarchy: TxtEx-learning u-correction grammars of classes of c.e. languages, where u is a notation in O for any ordinal, can be simulated by TxtBc-learning w-correction grammars, where w is any notation for the smallest infinite ordinal ω.

Type
Research Article
Information
The Journal of Symbolic Logic , Volume 74 , Issue 2 , June 2009 , pp. 489 - 516
Copyright
Copyright © Association for Symbolic Logic 2009

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