[Lisa_seminaires] REMINDER: UdeM-McGill-MITACS machine learning seminar Tues Jan. 22, 10:00am, PAA 3195

Hugo Larochelle larocheh at iro.umontreal.ca
Lun 21 Jan 12:33:43 EST 2008


The UdeM-McGill-MITACS seminar series resumes this 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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