Language Technology, 6 credits

Språkteknologi, 6 hp

729G34

The course is disused. Replaced by 729G86.

Main field of study

Cognitive Science

Course level

First cycle

Course type

Single subject and programme course

Examiner

Marco Kuhlmann

Course coordinator

Marco Kuhlmann

Director of studies or equivalent

Jalal Maleki

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Timetable module Language Campus ECV
Single subject course (Half-time, Day-time) Spring 2019 201904-201911 2+4 English Linköping, Valla

Main field of study

Cognitive Science

Course level

First cycle

Advancement level

G1X

Entry requirements

For admission to the course, the specific entry requirements that apply for admission to the Bachelor's Programme in Cognitive Science must be satisfied, and the courses Programming and Discrete Mathematics, comprising 6 HE credits, Programming and Logic, comprising 6 HE credits, Linguistics, comprising 6 HE credits, and Computers in Linguistics, comprising 6 HE credits, or the equivalent, must be completed.

Intended learning outcomes

On completion of the course, the student should be able to:
- explain basic methods for the analysis and interpretation of words, sentences, and texts
- practically apply language technology methods and systems to texts and text collections
- evaluate language technology components and systems using standard validation methods
- judge the difficulty and the feasibility of language technology applications

Course content

Language technology is technology for the analysis and interpretation of natural language, a key component of smart search engines, personal digital assistants, and many other innovative applications. The goal of this course is to give an introduction to language technology as an application area, as well as to its basic methods. The course focuses on methods that process text.
The course covers the following areas: Basic methods and techniques for the analysis and interpretation of words, sentences, and texts, such as text segmentation, part-of-speech tagging, syntactic analysis, semantic analysis, and text classification. Language technology systems, such as information extraction systems and question answering systems. Validation methods. Tools, software libraries, and data.

Teaching and working methods

The course is taught in the form of lectures, lab sessions, and seminars in connection with a minor project. The student is expected to study independently, both individually and in groups. If necessary, the course is offered in English.

Examination

The course is examined by lab assignments, project assignments, and a written exam. Detailed information can be found in the study guidelines.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

Three-grade scale, U, G, VG

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department

Institutionen för datavetenskap

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