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Talk. Dan Jurafsky. Extracting many kinds of meaning from text and speech. (2011/09/13)

Speaker: Professor Dan Jurafsky (Stanford University). Date: September 13, 2011 Time: 16:00 Where: Computer Science Faculty Title: Extracting many kinds of meaning from text and speech. Abstract: Understanding natural language, while one of the oldest goals of artificial intelligence, is immensely difficult because language expresses so many kinds of meanings, embedded as it is in […]

News from OPENMT-2 project


Three pieces of news related to the OPENMT-2 project (2010-2012):

Gorka Labaka’s PhD thesis

In his PhD thesis (“EUSMT: Incorporating Linguistic Information to Statistical Machine Translation for Basque“) Labaka studied how Statistical Machine Translation (SMT) can handle the translation of Spanish into Basque, a morphologically rich and less-resourced language. He found two ways […]