Communications of the ACM
The logic of typed feature structures
The logic of typed feature structures
Stochastic attribute-value grammars
Computational Linguistics
Early lexical development in a self-organizing neural network
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Automatic measurement of syntactic development in child language
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Partially specified signatures: a vehicle for grammar modularity
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
High-accuracy annotation and parsing of CHILDES transcripts
CACLA '07 Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition
Towards modular development of typed unification grammars
Computational Linguistics
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We propose to model the development of language by a series of formal grammars, accounting for the linguistic capacity of children at the very early stages of mastering language. This approach provides a testbed for evaluating theories of language acquisition, in particular with respect to the extent to which innate, language-specific mechanisms must be assumed. Specifically, we focus on a single child learning English and use the CHILDES corpus for actual performance data. We describe a set of grammars which account for this child's utterances between the ages 1;8.02 and 2;0.30. The coverage of the grammars is carefully evaluated by extracting grammatical relations from induced structures and comparing them with manually annotated labels.