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  Syntactic generalization in a connectionist model of sentence production

Fitz, H., & Chang, F. (2009). Syntactic generalization in a connectionist model of sentence production. In J. Mayor, N. Ruh, & K. Plunkett (Eds.), Connectionist models of behaviour and cognition II: Proceedings of the 11th Neural Computation and Psychology Workshop (pp. 289-300). River Edge, NJ: World Scientific Publishing.

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Fitz_Chang_WSPC_2009.pdf (Publisher version), 240KB
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 Creators:
Fitz, Hartmut1, Author           
Chang, Franklin2, Author
Affiliations:
1Institute for Logic, Language and Computation, University of Amsterdam, ou_persistent22              
2NTT Communication Science Laboratories,, ou_persistent22              

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 Abstract: We present a neural-symbolic learning model of sentence production which displays strong semantic systematicity and recursive productivity. Using this model, we provide evidence for the data-driven learnability of complex yes/no- questions.

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 Dates: 2009
 Publication Status: Issued
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Title: the Eleventh Neural Computation and Psychology Workshop (NCPW11)
Place of Event: University of Oxford
Start-/End Date: 2008

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Title: Connectionist models of behaviour and cognition II: Proceedings of the 11th Neural Computation and Psychology Workshop
Source Genre: Proceedings
 Creator(s):
Mayor, Julien, Editor
Ruh, Nicolas, Editor
Plunkett, Kim, Editor
Affiliations:
-
Publ. Info: River Edge, NJ : World Scientific Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 289 - 300 Identifier: ISBN: 9789812834225