This course is a practical, broad and fast-paced introduction to Natural Langauge Processing (NLP). the course covers a variety of machine learning techniques and their applications in NLP and computational linguistics. The schedule includes for more information on the topics and course material.
This is a 9ECTS course compulsory for the BA studies in the International Studies in Computational Linguistics (ISCL). Master’s students can take the course as a “Hauptseminar” for 6ECTS, or for 9ECTS with additional work (a term project/paper). The course is also open to students of other degree programs with appropriate background. Please contact the instructor before signing up if you are unsure whether you meet the requirements or not. See the course syllabus for further details.
To register for the course, and access to some of the course material, you need to complete an introductory assignment. Please complete this exercise before Monday 22th of April.
- Daniel Jurafsky and James H. Martin (2009) Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Pearson Prentice Hall, second edition (JM) chapters from 3rd edition draft (JM3)
- Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2009), The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag, second edition. (HTF) available online
|Lectures||Monday/Friday 12:15-13:45, room 0.02|
|Lab||Wednesday 10:15-11:45, room 0.02|
|First Lecture||Wednesday April 17|
|Lecturer||Çağrı Çöltekin <email@example.com>|
|Office hours||Monday 14:00-15:00|
|Tutors||Marko Lozajic <firstname.lastname@example.org>|
|Maxim Korniyenko <email@example.com>|