CMU - Language Technologies Institute

Undergraduate Minor in Language Technologies

Human language technologies have become an increasingly central component of Computer Science in the last decade. Information retrieval, machine translation and speech technology are used daily by the general public, while text mining, natural language processing, and language-based tutoring are used regularly within more specialized professional or educational environments. The Language Technologies Minor allows students to learn about language technologies and apply them through a directed project.

Eligibility

Students must apply for admission to the Language Technologies Minor no later than September 30 of their senior year; an admission decision will usually be made within one month. Students may petition the LTI Undergraduate Program Director to be admitted to the Language Technologies Minor earlier or later in their undergraduate careers.

Students who have completed the prerequisites with an average grade of B (3.0) or better will ordinarily be accepted into the program. Students who do not meet this average must also submit a letter of explanation along with their application.

Prerequisites

	Course	Name	Credits
Prerequisites	15-122	Principles of Imperative Computation	12
	15-150	Functional Programming	12
Recommended	21-241	Matrix Algebra or	9
	21-341	Linear Algebra	9
	36-217	Prob. Theory and Random Proc.	9

Curriculum

	Course	Name	Credits
Core Courses (1)	11-721	Grammars & Lexicons	12, F
Electives (Any 3)	15-492	Speech Processing	12, F
	11-411	Natural Language Processing	12, S
	11-441	Search Engines and Web Mining	12, F
	11-711	Algorithms for NLP	12, F
	11-731	Machine Translation	12, S
	11-741	Information Retrieval	12, S
	11-751	Speech Recognition	12, F
	11-752	Speech II	12, S
	11-761	Language & Statistics	12, S
	80-180	The Nature of Language or	9, F
	80-280	Linguistic Analysis	9, S
Project	11-[345]90	A semester-long directed research project	12, F/S

The core course gives a general introduction to language technologies with an emphasis on natural language processing (NLP). The electives and project give in-depth experience in several specific language technologies. Students are able to mix and match as they see fit.

Administration

The Chair of the LTI Undergraduate Program is Alan W. Black. Please contact him about eligibility, curriculum, etc. He will also help match students with faculty for projects.

Double Counting of Courses

Courses in the minor may not be counted towards another SCS minor.