Language Technology II

General course description in Vorlesungsverzeichniss SS 2006

Lecturers

Valia Kordoni
Martin Kay
Manfred Pinkal
Ivana Kruijff-Korbayová

Course Objectives

The students become familiar with concepts and common technologies in the application areas of Multilingual information management, machine translation and natural language interaction. They learn exemplary approaches to building and evaluating such systems. The students also 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 resources; Sprout; Matrix; Heart of Gold (HoG) architecture as integration platform of all resources and systems. Uses of HoG and applications based on HoG

Programs for Machine Translation exercises here

Block 3 and 4: Natural language human-computer interaction

Natural language human-computer interaction:

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
Natural language processing technologies in computer-assisted learning

Formal Arrangements

Exercises

For each block of lectures and exercises, there will be home assignments of various types (e.g., practical or programming tasks, essay, ...)
Points: 15 points per block, 60 points in total
A minimum of 5 points per block and 30 points in total are required

Exam Preparation

Here are sample questions to give you an idea of what the exam questions will look like:

Exam

Form: written
Duration: 120 min
Date: tbd