Language Technology, 6 credits
Språkteknologi, 6 hp
729G86
Main field of study
Cognitive ScienceCourse level
First cycleCourse type
Single subject and programme courseExaminer
Marco KuhlmannCourse coordinator
Marco KuhlmannDirector of studies or equivalent
Jalal MalekiAvailable for exchange students
YesCourse 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 ScienceCourse level
First cycleAdvancement level
G1FEntry 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, ECOther 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 datavetenskapCode | 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
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There are no files available for this course.