Language Technology II

Lecturers

Martin Kay
Manfred Pinkal
Hans Uszkoreit, Jia Xu (tbc)
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