Not sure if you want to apply for the degree program? The following online courses are open for single-course enrollment and credit can be applied toward the professional Master's in Computational Linguistics under certain conditions. Courses are offered completely online via Adobe Connect. However, you also have the option of attending class on campus. Click here to learn how to apply.

Knowledge Engineering (LING 567C) (3 credits)
Techniques and theoretical issues relating to the development of knowledge engineering resources required for deep processing (symbolic or hybrid), focusing on grammar engineering and semantic representations.

Deep Processing Techniques for NLP (LING 571C) (4 credits)
This course covers algorithms for using precision grammars to associate deep or elaborated linguistic structures with naturally occurring linguistic data (parsing), and to associate natural language strings with input semantic representations (generation). It also covers associated techniques for disambiguation (parse, generated string) and transfer (for symbolic machine translation).

Advanced Statistical Methods in NLP (LING 572B) (4 credits)
Statistical approaches to applications such as machine translation, automated lexical acquisition (monolingual and bilingual), information retrieval, and question answering, with components including language modeling, alignment, and document clustering.