Foundations of Computational Linguistics . LING 110

An introduction to foundational ideas in computational linguistics, such as: n-gram language models; noisy channel models; supervised and unsupervised learning; and distributional semantics. Focus on developing an understanding of the intuitions behind the ideas, including relevant algorithms and math, and implementing this understanding in hands-on programming applications. May be taken for graduate credit using the LING 297 course code.

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