from 13:00 to 16:30
|Where||AICES Seminar room 115, Schinkelstr. 2, 52062 Aachen|
|Contact Name||Vanessa Schiffers|
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Human Language Technology and Machine Learning: From Bayes Decison Theory to Deep Learning
Computer Science Department RWTH Aachen University
Spoken and written language and the processing of language are considered to be inherently human capabilities. With the advent of computing machinery, automatic language processing systems became one of the corner-stone goals in artificial intelligence. Typical tasks involve the recognition and understanding of speech, the recognition of text images and the translation between languages. The most successful approaches to building automatic systems to date are based on the idea that a computer learns from examples (possibly very large amounts) and uses plausibility scores rather than externally provided categorical rules. Such approaches are based on statistical decision theory and machine learning. The last 40 years have seen a dramatic progress in machine learning for human language technology. This lecture will present a unifying view of the underlying statistical methods including the recent developments in deep learning and artificial neural networks.