Colloquium: Will Styler – Using Transparent Machine Learning to study Human Speech
Haines Hall A25Using Transparent Machine Learning to study Human Speech Machine learning, the use of nuanced computer models to analyze and predict data, has a long history in speech recognition and natural language processing, but has largely been limited to more applied, engineering tasks. This talk will describe two more research-focused applications of transparent machine learning...
Faculty Meeting
Personnel Matter
Phonetics Seminar – Discussion of Abstracts from the December ASA
Campbell Hall 2101KSemantics Tea
Campbell Hall 2122Phonology Seminar: Claire Moore-Cantwell “Cognitive load impairs access to the phonological grammar”
Hayes/Keating residence; Please contact Bruce if you need directions; bhayes@humnet.ucla.eduAbstract: I present results from two wug-tests of parts of the English stress system, which yield quite different patterns of productivity. One experiment was a typical wug-test while the other involved a concurrent memory task. While the typical wug-test yielded probabilistic behavior matching statistical details of the English lexicon, when the memory task was introduced...
Psycholinguistics Seminar: CUNY abstract review session I
2122 Campbell HallFaculty Meeting
Non-Personnel Matter