This is an internal version that might contain incomplete information.

Introduction to Language Technology, 4 credits

Introduktion till språkteknologi, 4 hp

TDDE17

The course is disused.

Main field of study

Information Technology

Course level

First cycle

Course type

Programme course

Examiner

Marco Kuhlmann

Director of studies or equivalent

Jalal Maleki

Education components

Preliminary scheduled hours: 32 h
Recommended self-study hours: 75 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CITE	Information Technology, M Sc in Engineering	3 (Autumn 2017)	2	3	Swedish/English	Linköping, Valla	C

Main field of study

Information Technology

Course level

First cycle

Advancement level

G2X

Course offered for

Information Technology, M Sc in Engineering

Prerequisites

Discrete mathematics. Basic programming.

Intended learning outcomes

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. 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

Course content

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. Language technology tools, software libraries, and data.

Teaching and working methods

The course is given in the form of lectures, lab sessions, and study group sessions.

Examination

LAB1	Laborations	2 credits	U, 3, 4, 5
KTR1	Written examination	1 credits	U, G
BAS1	Study group sessions	1 credits	U, G

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Jalal Maleki

Examiner

Marco Kuhlmann

Education components

Preliminary scheduled hours: 32 h
Recommended self-study hours: 75 h

Course literature

Kurskompendium som tillhandahålls av institutionen./Lecture notes provided by the department offering the course.

Code	Name	Scope	Grading scale
LAB1	Laborations	2 credits	U, 3, 4, 5
KTR1	Written examination	1 credits	U, G
BAS1	Study group sessions	1 credits	U, G

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

Kurskompendium som tillhandahålls av institutionen./Lecture notes provided by the department offering the course.

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	1.2 Fundamental engineering knowledge (G1X level)			X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)		X		KTR1
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving		X		BAS1 LAB1
	2.2 Experimentation, investigation, and knowledge discovery		X		BAS1 LAB1
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork		X	X	BAS1 LAB1
	3.2 Communications
	3.3 Communication in foreign languages			X
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context	X
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page.

There are no files available for this course.