Language Technology II
Lecturers
Martin Kay
Manfred Pinkal
Andreas Eisele
Magdalena Wolska
Course Objectives
Students become familiar with concepts and common technologies in
multilingual information management, machine translation
and natural language interaction. They learn exemplary approaches to building
and evaluating such systems and acquire practical experience
in applying these approaches through designing, implementing and evaluating
small systems.
Course Contents
Block 1: Machine Translation
- Concepts and methods of 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
- Issues in spoken and multimodal dialogue system development
- User modeling, usability testing and evaluation, standards
- 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: 60 points total
Exam Preparation
Exam
- deadline for registration: TBA
- form: written
- date: TBA
- duration: 120 min