@article{LCNL:5,
	author={Mark S. Seidenberg and Maryellen C. MacDonald},
	year={1999},
	month={09},
	title={A probabilistic constraints approach to language acquisition and processing.},
	journal={Cognitive Science},
	volume={23},
	number={4},
	pages={569-588},
	abstract={Provides an overview of a probabilistic constraints framework for thinking about language acquisition and processing. The generative approach characterizes knowledge of language (i.e., competence grammar) and then asks how this knowledge is acquired and used. The approach is performance oriented: the goal is to explain how people comprehend and produce utterances and how children acquire this skill. Use of language involves exploiting multiple probabilistic constraints over various types of linguistic and nonlinguistic information. Acquisition is the process of accumulating this information, which begins in infancy. The constraint satisfaction processes that are central to language use are the same as the bootstrapping processes that provide entry to language for the child. Framing questions about acquisition in terms of models of adult performance unifies the two topics under a set of common principles and has important consequences for arguments concerning language learnability.},
	language={English},
	keywords={probabilitic constraints; language acquisition; language processing; Language Development},
	issn={03640213},
	URL={http://lcnl.wisc.edu/publications/archive/5.pdf},
}