CS 5740

CS 5740

Course information provided by the Courses of Study 2019-2020.

This course constitutes an introduction to natural language processing (NLP), the goal of which is to enable computers to use human languages as input, output, or both. NLP is at the heart of many of today's most exciting technological achievements, including machine translation, automatic conversational assistants and Internet search. Possible topics include methods for handling underlying linguistic phenomena (e.g., syntactic analysis, word sense disambiguation and discourse analysis) and vital emerging applications (e.g., machine translation, sentiment analysis, summarization and information extraction).

When Offered Fall, Spring (NYC).

Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent (Fall). Prerequisite: CS 4780, CS 4786, or CS 5785 or by permission of instructor (Spring).

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 3-4 Credits GradeNoAud

  • 11953CS 5740  LEC 030

  • Taught in NYC. Enrollment limited to Cornell Tech students. 4th credit option is only available to students who have successfully completed both CS 5356 and CS 5357 and have obtained instructor approval. *Weill students must obtain instructor approval to enroll. Please send completed registration forms and instructor approval to studentservices@tech.cornell.edu. Students will only be registered if space allows.

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 3-4 Credits S/U NoAud

  • 17078CS 5740  LEC 031

  • Taught in NYC. Enrollment limited to Cornell Tech students. This section is offered on a pass/fail only option. Must seek instructor approval to enroll in this section. 4th credit option is only available to students who have successfully completed both CS 5356 and CS 5357 and have obtained instructor approval. *Weill students must obtain instructor approval to enroll. Please send completed registration forms and instructor approval to studentservices@tech.cornell.edu. Students will only be registered if space allows.