Probabilistic Modelling of Morphologically Rich Languages

18 Aug 2015Jan A. Botha

This thesis investigates how the sub-structure of words can be accounted for in probabilistic models of language. Such models play an important role in natural language processing tasks such as translation or speech recognition, but often rely on the simplistic assumption that words are opaque symbols... (read more)

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