Machine Translation

5 credits

Syllabus, Master's level, 5LN718

A revised version of the syllabus is available.
Code
5LN718
Education cycle
Second cycle
Main field(s) of study and in-depth level
Language Technology A1N
Grading system
Fail (U), Pass (G), Pass with distinction (VG)
Finalised by
The Department Board, 20 April 2018
Responsible department
Department of Linguistics and Philology

General provisions

The course can be given in the Master's Programme in Language Technology and as a freestanding course.

Entry requirements

A Bachelor's degree and (1) 60 credits in language technology/computational linguistics, or (2) 60 credits in computer science, or (3) 60 credits in a language subject, 7.5 credits in computer programming and 7.5 credits in logic/discrete mathematics. Knowledge of English equivalent to what is required for entry to Swedish first-cycle courses and study programmes.

Learning outcomes

On completion of the course, to earn the grade Pass the student should at least be able to:

  1. explain, apply, and assess manual and automatic evaluation methods for machine translation;
  2. analyse and critically review scientific publications in the field of machine translation;
  3. describe and critically discuss the architecture of machine translation systems;
  4. build their own translation model using existing tools for machine translation and evaluate and analyse the translation results;
  5. compare different types of machine translation strategies, such as rule-based, statistical, and neural machine translation.

Content

See the intended learning outcomes.

Instruction

The teaching consists of lectures and laboratory sessions under supervision.

Assessment

Examination takes place through oral and written presentation of assignments. The teacher can, as part of the examination require compulsory attendance and active participation in teaching modulees. Details about the examination are provided at the start of the course.

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