Monikielinen luonnollisen kielen käsittely

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 multilingual natural language processing
• develop and use models of multilingual natural language processing for various tasks across languages
• test and evaluate multilingual language models
• develop, use and evaluate models of machine translation
• handle multilingual data that can be used for training and testing multilingual language and translation models
• read, understand and present scientific papers on current challenges in machine translation and multilingual natural language processing.
  

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

Teaching course: 

• 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