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