Language Technology II
Lecturers
Valia Kordoni
Martin Kay
Manfred Pinkal
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 and 2: Multilingual language technology
- Concepts and methods of machine translation
- Multilingual Grammar Engineering and Resources, including, but not
limited to Sprout, RASP, Matrix, Heart of Gold (HoG), Alpino,
ParGram, etc., as integration platforms of various deep and
shallow resources and systems for multilingual,
application-oriented linguistic grammar engineering.
Programs for Machine Translation exercises here
Block 3 and 4: 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, ...)
- Credit points: 15 points per block, 60 points total
- A minimum of 5 points per block and 30 points in total are required
Exam Preparation
Exam
- deadline for registration: TBA
- form: written
- date: TBA
- duration: 120 min