Language Technology

Aim

On completion of the course, the student should be able to:

• explain basic methods for the processing of natural language
• practically apply language technology methods and systems to realistic problems
• evaluate language technology components and systems with appropriate methods
• assess the difficulty of language technology problems and which resources are needed to solve them
• reason about the capabilities and limitations of large language models for solving language technology problems

Content

Language technology develops methods for making human language accessible to computers. The goal of this course is to provide an introduction to language technology as an application area, and to some of its basic methods. The course focuses on methods based on machine learning.

The course is examined by:

• basic methods and techniques for the analysis and interpretation of natural language
• relevant machine learning methods
• validation methods
• applications of language technology
• tools, software libraries, and data