Unsupervised Learning of Syntactic Structure
published: Oct. 31, 2007, recorded: June 2007, views: 635
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Probabilistic models of language. ''Everybody knows that language is variable'' - Sapir (1921).
Probabilistic models give precise descriptions of a variable, uncertain world. The choice for language isn’t a dichotomy between rules and neural networks. Probabilistic models can be used over rich linguistic representations. They support inference and learning. There’s not much evidence of a poverty of the stimulus preventing them being used.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !