Language Technology, 6 credits

Språkteknologi, 6 hp

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 Language Campus ECV
Single subject course (Half-time, Day-time) Spring 2020 202004-202011 English Linköping, Valla

Main field of study

Cognitive Science

Course level

First cycle

Advancement level

G1F

Entry requirements

General entry requirements for undergraduate studies
and 
English corresponding to the level of English in Swedish upper secondary education (Engelska B/6)
and
Social Studies corresponding to the level of Social Studies in Swedish upper secondary education
and
Mathematics corresponding to the level of Mathematics in Swedish upper secondary education

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 

  • voluntary tests, grading scale: UG
  • written exam, grading scale: EC
  • lab assignments, grading scale: EC
  • project assignments, grading scale: EC

The voluntary tests give bonus points on the ordinary written exam (but not for re-exams). The final grade of the course is the median of the grades for lab assignments, written exams and project assignments.

Detailed information can be found in the study guidelines.

If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it. If the coordinator has instead recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

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

ECTS, EC

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
Code Name Scope Grading scale
KRT1 Optional Tests 0 credits U, G
LAB1 Laboratory Work 2 credits EC
TEN1 Written Examination 2 credits EC
UPG1 Project Work 2 credits EC

Regulary literature

Articles

Articles and literature available on the course website

Additional literature

Books

Jurafsky, Dan, Martin, James H., (2019) Speech and language processing : an introduction to natural language processing, computational linguistics and speech recognition draft chapters of 3. ed. Upper Saddle River, N.J. : Pearson Education International/Prentice Hall, cop. 2009

https://web.stanford.edu/~jurafsky/slp3/

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There are no files available for this course.