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Osherson, D., Stov, M. & Weinstein, S. (1984). Learning theory and natural language, Cognition, 17, 1-28.

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Connectionism and Cognitive Architecture: A Critical Analysis - Fodor, Pylyshyn (1988)   (189 citations)  (Correct)

....would be very embarrassing for Connectionists. A natural place to look for such arguments would be in the theory of the acquisition of cognitive competences. For example, much traditional work in linguistics (see Prince and Pinker, 1988) and all recent work in mathematical learning theory (see Osherson, Stov Weinstein, 1984), assumes that the characteristic output of a cognitive acquisition device is a recursive rule system (a grammar, in the linguistic case) Suppose such theories prove to be well founded; then that would be incompatible with the assumption that the cognitive architecture of the capacities acquired ....

Osherson, D., Stov, M. & Weinstein, S. (1984). Learning theory and natural language, Cognition, 17, 1-28.


The Power of Vacillation in Language Learning - Case (1999)   (5 citations)  (Correct)

.... computer program [77, 50] and Gold s model of language learning from text (positive information) by machine has been very influential in contemporary theories of natural language and in mathematical work explicitly motivated by its possible connection to human language learning (see, for example, [76, 93, 94, 66, 68, 8, 44, 15, 69, 70, 38, 39, 53, 5]) In the present paper we consider some new criteria of success extending Gold s basic model above. Suppose that we fix an integer n 0. Consider the following criterion of success (again based on (1.1) above) We say that M TxtFex n identifies L def # M, on any text for L, outputs ....

D. Osherson, M. Stob, and S. Weinstein, Learning theory and natural language, Cognition, 17 (1984), pp. 1--28.


Synthesizing Enumeration Techniques For Language Learning - Baliga, Case (1996)   (5 citations)  (Correct)

....rarely learn a language perfectly. The a 0 case is from [CL82] but [OW82a] independently, introduced the a = case. The influence of Gold s paradigm [Gol67] on human language learning is discussed by Pinker [Pin79] Wexler and Culicover [WC80] Wexler [Wex82] Osherson, Stob, and Weinstein [OSW82, OSW84, OSW86], Fulk [Ful85, Ful90a] Case [Cas88, Cas92] Kirsh [Kir92] and Baliga, Case and Jain [BCJ95] We sometimes write TxtEx for TxtEx 0 and TxtEx a for TxtEx a . 2.3.2 Vacillatory and Behaviorally Correct Language Identification Definition 2 We say M(T ) finitely converges (written: M(T ) ....

D. Osherson, M. Stob, and S. Weinstein. Learning theory and natural language. Cognition, 17:1--28, 1984.


Synthesizing Enumeration Techniques For Language Learning - Baliga, Case, Jain (1996)   (5 citations)  (Correct)

.... [CL82, Cas88, Cas92, BC93] Gold s model of language learning from text (positive information) and by machine [Gol67] has been very influential in contemporary theories of natural language and in mathematical work motivated by its possible connection to human language learning (see, for example, [Pin79, WC80, Wex82, OSW82, OSW84, Ber85, Gle86, Cas86, OSW86a, OSW86b, Ful85, Ful90a, Kir92, BCJ95]) We sometimes write TxtEx for TxtEx 0 and TxtEx a for TxtEx a . 2.3.2 Vacillatory and Behaviorally Correct Language Identification Definition 2 We say M(T ) finitely converges (written: M(T ) def , fM( j ae Tg is a finite subset of N . If M(T ) then M(T ) is defined = fp j ....

D. Osherson, M. Stob, and S. Weinstein. Learning theory and natural language. Cognition, 17:1--28, 1984.


The Power of Vacillation in Language Learning - John Case (1992)   (5 citations)  (Correct)

.... Gold s model of language learning from text (positive information) by machine has been very influential in contemporary theories of natural language and in mathematical work explicitly motivated by its possible connection to human language learning (see, for example, Pin79, WC80, Wex82, OSW82, OSW84, Ber85, Gle86, Cas86, OSW86a, OSW86b, Ful85, Ful90a, Kir92, BCJ95] In the present paper we consider some new criteria of success extending Gold s basic model above. Suppose we fix an integer n 0. Consider the following criterion of success (again based on (1) above) We say that M TxtFex n ....

D. Osherson, M. Stob, and S. Weinstein. Learning theory and natural language. Cognition, 17:1--28, 1984.


Machine Learning And Language Acquisition: A Model Of Child's.. - Altun (1999)   (Correct)

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Osherson D.N., Stob M. and Weinstein S. Learning Theory and Natural Language. In R.J. Matthews and W. Demopoulos, editors, Learnability and Linguistic Theory. Kluwer Academic Press, 1989. 1-17.

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