Information and Computation - Semantics of Data Types
Type-theoretical grammar
Structural Equations in Language Learning
LACL '01 Proceedings of the 4th International Conference on Logical Aspects of Computational Linguistics
Limitations of current grammar induction algorithms
ACL '07 Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop
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This paper presents the ongoing project Computational Models of First Language Acquisition, together with its current product, the learning algorithm GraSp. GraSp is designed specifically for inducing grammars from large, unlabelled corpora of spontaneous (i.e. unscripted) speech. The learning algorithm does not assume a predefined grammatical taxonomy; rather the determination of categories and their relations is considered as part of the learning task. While GraSp learning can be used for a range of practical tasks, the long-term goal of the project is to contribute to the debate of innate linguistic knowledge - under the hypothesis that there is no such.