Statistical Natural Language Processing
Download as PDF
Overview
Subject area
MTH
Catalog Number
9796
Course Title
Statistical Natural Language Processing
Department(s)
Description
This course provides a survey of the challenges, concepts and methodologies employed in Natural Language Processing (NLP). The subject brings together the modeling of the underlying structure of human language with the flexibility and power of neural networks and other algorithmic approaches. The course covers modeling the parts of speech, disambiguation, text similarity, maximum entropy methods, neural networks, and computational semantics.
Typically Offered
Fall, Spring, Summer
Academic Career
Graduate
Liberal Arts
Yes
Credits
Minimum Units
1.5
Maximum Units
1.5
Academic Progress Units
1.5
Repeat For Credit
No
Components
Name
Lecture
Hours
1.5
Requisites
034785