Semester.ly

Johns Hopkins University | EN.601.667

Introduction to Human Language Technology

3.0

credits

Average Course Rating

(3.65)

This course gives an overview of basic foundations and applications of human language technology, such as: morphological, syntactic, semantic, and pragmatic processing; machine learning; signal processing; speech recognition; speech synthesis; information retrieval; text classification; topic modelling; information extraction; knowledge representation; machine translation; dialog systems; etc. Required Background: EN.601.226 Data Structures; knowledge of Python recommended.

Fall 2022

Professor: Philipp Koehn

(3.65)

Lecture Sections

(01)

No location info
P. Koehn
09:00 - 10:15

(02)

No location info
P. Koehn
09:00 - 10:15