Entry requirements

30 credits second-cycle courses in language technology, including the courses Natural Language Processing and Machine Learning in Natural Language Processing.

Learning outcomes

In order to pass the course the student must be able to, in relation to a scientifically organised language technology project,

• explain the basic principles of scientific work and research methodology in general and in relation to the current project,
• make an overview of earlier research and the state of the art within the field that the project treats and identify its most urgent research issues,
• show an ability to identify and formulate research questions in a critical, independent, and creative way,
• plan and carry out research tasks based on sound methodological principles and within the given time limits,
• evaluate results and partial results with current validation methods,
• present the purpose of the project and its results in a professional manner, both for scientists and for the general public, orally and in writing, taking the target audience into consideration,

Content

The course provides an overview of language technology research and development, which is then applied in the form of an individual language technology project.

Instruction

Active participation in seminars and research work concerning the research project in collaboration with the other participants of the project.

Assessment

The course is examined through a series of written assignments and seminar presentations. The teacher can, as part of the examination, require compulsory attendance and active participation in seminars. Details about the examination are provided at the start of the course.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.