Statistical Methods in Natural Language Processing

Automatic methods for natural language processing play an important role in any human-machine interaction applications and other tasks in artificial intelligence.
This course deals with statistical methods that have been found most successful for many tasks in natural language processing.

Type	Dates	Rooms	Start	Instructor
V3/4	Tue 11:40 - 13:10	AH V	12.04.2011	Prof. Dr.-Ing. H. Ney
	Wed 11:00 - 12:30	AH V	13.04.2011
Ü2	Mon 12:00 - 13:30	Room 6124	18.04.2011	Prof. Dr.-Ing. H. Ney, M. Huck, C. Schmidt

Text and document classification including information retrieval
Information extraction including tagging and semantic annotation
Syntactic analysis and parsing
Language modeling
Machine translation of natural language

Lecture Notes

Slides (access only permitted within the RWTH domain)

Announcements

Please see the lecture's L2P room for recent announcements.

Exercises

Exercise sheets and additional data are being made available within the lecture's L2P room.

Statistical Methods in Natural Language Processing

Contents

Lecture Notes

Announcements

Exercises