Luonnollisen kielen tuottaminen

The student needs to have appropriate knowledge and skills to work on topics in language technology on the level of intermediate or advanced studies. This includes knowledge of programming, essential data manipulation tools and other skills included in BA-level courses in language technology and basic studies in language technology.

After successfully completing the course, students will be able to:

• explain approaches to natural language generation
• develop, use and evaluate generative language models for various tasks and applications
• handle data that can be used for training and testing generative language models
  
• read, understand and present scientific papers on current challenges in  generative AI and natural language generation

Study material will be distributed at the beginning and during the course.

Kohderyhmä

This is an optional course.

The course is available to students from other study tracks and degree programmes.

Ajoitus

Students can take this course in year 1 or 2. The course is offered at least every second year.

Toteutus

• Weekly lectures and hands-on assignments
• Shared-task-based assignment with report
• Seminar presentation on current topic

Arviointimenetelmät ja -kriteerit

Grading follows the standard scale 0 – 5. The following aspects are taken into account in grading:

• Hands-on assignments
  
• Project work with report
  
• Seminar presentation on current topic