[Lisa_seminaires] UdeM-McGill-MITACS machine learning seminar Tues Jan. 22, 10:00am, PAA 3195
Hugo Larochelle
larocheh at iro.umontreal.ca
Mer 16 Jan 13:35:43 EST 2008
The UdeM-McGill-MITACS seminar series will resume next week with its
first 2008 seminar. Note the new time for the seminars.
Next week's seminar (see http://www.iro.umontreal.ca/article.php3?
id_article=107&lang=en):
Open Problems in Statistical Machine Translation
by Roland Kuhn,
Institute for Information Technology
National Research Council of Canada
Location: Pavillon André-Aisenstadt (UdeM), room 3195
Time: January 22nd 2008, 10h00
Since around the year 2000, the dominant paradigm in research on
machine translation has changed from an “expert system” approach to
one based on machine learning, called “statistical machine
translation” (SMT). The purpose of the talk is to give an overview of
SMT and to encourage researchers in machine learning to consider
entering the field. After a description of how the SMT systems are
evaluated experimentally, the five IBM translation models will be
summarized. Then, the key concepts underlying today’s phrase-based
SMT systems will be described. Finally, the talk will discuss five
interesting open problems in SMT: system adaptation, feature
selection, generalizing beyond phrases, discriminative training of
SMT systems, and the application of kernel methods to SMT.
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