My area of research is computational linguistics, in which I take a
highly multidisciplinary approach integrating computational theories
and techniques with insights from the fields of linguistics and
Currently, a primary focus of my work is the automatic acquisition of
linguistic knowledge from large text corpora, using machine learning
approaches. Especially challenging is the learning of semantic
information about predicates, which is only implicitly represented in
text. Another main area of interest is work on cognitive models of
human language acquisition and processing. In the latter, I am
particularly interested in modelling how human beings so effortlessly
come to the intended meaning of an utterance in spite of the high
degree of ambiguity in everything we say and hear. I am also very
interested in analyzing databases combining words and pictures (such
as captioned images on the web), to determine how the words can help
disambiguate the images, and vice versa.
For more details on my research interests, click here.
If you are interested in graduate studies in computational
processing, this page tells you a bit
about our application process and studies here.