Machine Learning for Linguistics
 
 I will describe the theory, practice, and fun of applying Machine Learning
 (an area within Artificial Intelligence) as a methodology to linguistics
 and psycholinguistics. Starting from a general model of Machine Learning
 and how it relates to language acquisition, representation, and processing,
 I will show the methodology at work in a number of case studies.
   (i)   What rule induction for morphology can teach us about phonology
   (ii)  An analogical learning model of single-route morphological processing
   (iii) Induction of lexical semantics from large corpora