Syllabus for Syntactic Parsing (Master's Level)
Syntaktisk parsning (avancerad nivå)
- 7.5 credits
- Course code: 5LN713
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Language Technology A1N
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2012-05-11
- Established by:
- Revised: 2019-12-22
- Revised by: The Department Board
- Applies from: Spring 2020
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.
- Responsible department: Department of Linguistics and Philology
Decisions and guidelines
The course can be given within the Master's Programme in Language Technology and as a freestanding course.
In order to pass the course, a student must be able to:
- explain the standard models and algorithms used in phrase structure and dependency parsing;
- implement and evaluate some of these techniques;
- critically evaluate scientific publications in the field of syntactic parsing;
- design, evaluate, or theoretically analyse the syntactic component of an NLP system,
with a certain degree of independent creativity, clearly stating and critically discussing methodological assumptions, applying state-of-the-art methods for evaluation, and presenting the result in a professionally adequate manner.
See the Learning Outcomes.
The teaching consists of lectures and laboratory sessions under supervision.
The course is examined by means of a series of assignments.
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.
Applies from: Spring 2021
Some titles may be available electronically through the University library.
San Rafael, Calif.: Morgan & Claypool, 2009
Martin, James H.
Speech and language processing : an introduction to natural language processing, computational linguistics and speech recognition
2. ed.: Upper Saddle River, N.J.: Pearson Education International/Prentice Hall, cop. 2009
Reading list revisions
- Latest reading list (applies from Spring 2021)
- Previous reading list (applies from Spring 2020)