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