Machine Translation (Master's Level)

7.5 credits

Syllabus, Master's level, 5LN711

A revised version of the syllabus is available.
Code
5LN711
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, 1 September 2023
Responsible department
Department of Linguistics and Philology

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. Also required is 7.5 credits in machine learning, and proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.

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;
  6. implement components of machine translation systems or components used in evaluation or preprocessing.
  7. plan and carry out research tasks based on sound methodological principles and within the given time limits.

Content

The course provides an overview of different types of machine translation systems with a focus on architecture, usage and evaluation.

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.

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.

FOLLOW UPPSALA UNIVERSITY ON

facebook
instagram
twitter
youtube
linkedin