Language Technology II

Lecturers

Martin Kay
Manfred 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