Section Information for Fall 2020
This course offers a general introduction to some of the central questions and techniques in Natural Language Processing (NLP) and Computational Linguistics (CL). Topics from the domain of NLP include techniques for language modeling, text normalization, information extraction, part-of-speech tagging, and syntactic parsing. Topics from the CL domain include questions that arise in identifying unit boundaries and defining “words”, approaches to assigning meaning representation, measures developed to estimate linguistic complexity, and general comparisons of human and machine learning. The course also includes a basic introduction to programming with Python that is designed to allow students to apply simple yet efficient techniques to recurrent linguistic problems.
By the end of this course, students will be expected to have acquired a broad understanding of the focus of current work within NLP and CL and a basic grasp of the formal techniques applied in these fields. This knowledge provides students with a foundation that will allow them to develop their linguistic interests by using contemporary quantitative and computational techniques. The course will also be of interest to students considering employment as linguists within the expanding tech industry.
LING 686 DL2 is a distance education section.
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Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Non-Degree or Senior Plus.
Enrollment is limited to Graduate, Non-Degree or Undergraduate level students.
Students in a Non-Degree Undergraduate degree may not enroll.