Syllabus for Syntactic Analysis

Syntaktisk analys

  • 5 credits
  • Course code: 5LN717
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Language Technology A1F

    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:

    First cycle

    • 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

    Second cycle

    • 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: 2016-04-01
  • Established by: The Department Board
  • Revised: 2017-09-12
  • Revised by: The Department Board
  • Applies from: Spring 2018
  • 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.

  • Responsible department: Department of Linguistics and Philology

Decisions and guidelines

The course is given within the Master's Programme in Language Technology.

Learning outcomes

In order to pass the course, a student must be able to:

  1. explain the standard models and algorithms used in phrase structure and dependency parsing;
  2. implement and evaluate some of these techniques;
  3. critically evaluate scientific publications in the field of syntactic parsing,

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.

Content

The course provides an advanced overview of algorithms for natural language syntactic parsing and the methods for evaluating their performance.

Instruction

The teaching consists of lectures and laboratory sessions under supervision.

Assessment

The course is examined by means of shorter lab assignments and larger assignments.

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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