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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 the rich social […]

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 to enhance the quality […]