Language Technology II

Lecturers

Martin Kay
Christian Federmann
Magdalena Wolska

Lecture Dates

We meet twice a week, both on tuesday and thursday. The session starts at 8:30AM and takes place in the seminar room on the ground floor of building C 7 2.

Course Objectives

Students become familiar with fundamental concepts and common technologies in two main areas of NLP: machine translation and natural language interaction.

Please note: the course »Language Technology I« is NOT required for this course.

Course Contents

Block 1: Machine Translation

Automatic translation of natural language:

Rule-based machine translation (RBMT)
Statistical machine translation (SMT)
Hybrid methods/system combination methods

Block 2: Natural Language Human-Computer Interaction

Natural language human-computer interaction:

Dialogue phenomena
Approaches to computational dialogue modeling and dialogue management
Comparison of dialogue systems for various applications
User modeling, usability testing and evaluation
Learning dialogue strategies

Formal Arrangements

You earn 6 credit points for this lecture. See the information page.

Exercises

For each block of lectures and exercises there will be homework assignments of various types. See the schedule page for more information.

Sample code from the SMT part of the course can be found on GitHub.

Exam

The oral exam took place on July 23, 2013.