Language Technology II
Lecturers
Martin KayManfred Pinkal
Hans Uszkoreit, Sabine Hunsicker
Magdalena Wolska
Course Objectives
Students become familiar with concepts and common technologies in machine translation and natural language interaction.Course Contents
Block 1: Machine Translation
- Rule-based machine translation
- Statistical/hybrid machine translation
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
Exercises
- For each block of lectures and exercises there will be homework assignments of various types (e.g., practical or programming tasks, essays, reading, etc.)
- Credit points: 6 (not the previously announced generous 60, alas (-;) points total
Exam Preparation
- tba
Exam
- deadline for registration: TBA
- form: written
- date: TBA
- duration: 120 min