Language Technology II
Vorlesung mit Übung: Computerlinguistik, M.Sc.Leitung: NN
Ort: Geb. C72, Seminarraum
Zeit: Tue 8:30-10:00, Thu 8:30-10:00
Geeignet für: M.Sc.
The goal is to teach concepts and common technologies in the application areas of machine translation and natural language interaction. Students learn exemplary approaches to building and evaluating such applications and acquire practical experience through designing, implementing and evaluating small systems. Topics covered in the course include concepts in machine translation, multilingual resources, computational dialogue modeling and dialogue management, issues in spoken and multimodal dialogue system development and natural language-based computer-assisted learning, user modeling, usability testing and evaluation.
D. Jurafsky and J. H. Martin. Speech and Language Processing. Chapter 19. Prentice Hall. 2000.
M.McTear. Spoken dialogue technology: Enabling the conversational user interface. ACM Computing Surveys, 34(1):90-169, 2002.
Additinal reading material will be assigned during the semester.
Credits are awarded upon successful completion of home assignments and practical exercises, and the passing of a final written examination.
Stellung im Studienplan
Area: LT (Language Technology)
Standard time slot 2nd semester.
Required course for M.Sc. with specialization LT.