Natural Language Processing

7.5 credits

Syllabus, Master's level, 5LN701

A revised version of the syllabus is available.
Code
5LN701
Education cycle
Second cycle
Main field(s) of study and in-depth level
Language Technology A1N
Grading system
Pass with distinction (VG), Pass (G), Fail (U)
Finalised by
The Department Board, 11 October 2024
Responsible department
Department of Linguistics and Philology

Entry requirements

Courses equivalent to a Bachelor's degree and at least 60 credits in language technology/computational linguistics, or at least 60 credits in computer science, or at least 60 credits in a language subject, as well as 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

For the grade passed, the student on completion of the course must be able to

  1. account for which products, services, and technologies are typical for the field of language technology and at a general level account for the technology behind some important systems and account for the performance and commercial importance of these systems
  2. account for important methodological considerations behind collection, selection, and use of linguistic data in language technology
  3. apply and account for basic probability theory and principles of statistical inference on such data
  4. account for and apply statistical language models, and different methods for regularization
  5. implement simple statistical models of classification and annotation of symbol sequences, particularly in system for morphological analysis and tagging of natural language, and evaluate such systems
  6. account for and implement algorithms for syntactic parsing and disambiguation, and adapt and evaluate such systems for selected languages
  7. account for and implement language technology methods that capture and/or classify the contents of natural language text, and account for how such systems can be evaluated
  8. present the results of these kinds of language technology tasks in a professionally adequate way, both orally and in writing.

Content

The course provides an overview of the field of language technology with a focus on basic techniques and the use of linguistic data and statistical models in language technology.

Instruction

The teaching is given as 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 modules. 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.

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