Introduction to human language technology, with in-depth coverage of continuous-space statistical models of language and application to natural language processing tasks. Methods covered include low rank distributional representations, neural networks, and log bilinear statistical models, which are leveraged for language modeling, similarity scoring, classification, and translation/generation.
