LET-REMA-LCEX19
Introduction to Language and Speech Technology
Course infoSchedule
Course moduleLET-REMA-LCEX19
Credits (ECTS)6
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Arts; Graduate School;
Lecturer(s)
Examiner
dr. B.J.M. van Halteren
Other course modules lecturer
Lecturer
dr. B.J.M. van Halteren
Other course modules lecturer
Contactperson for the course
dr. B.J.M. van Halteren
Other course modules lecturer
Academic year2017
Period
PER 1-PER 2  (01/09/2017 to 04/02/2018)
Starting block
PER 1
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
An understanding of the degree to which text (either written or spoken) can be processed automatically and of the purposes for which this processing can be used. A basic insight in the various techniques that can be applied and the ability to select the proper technique(s) in any given situation. Sufficient understanding to follow up on this selection by finding and obtaining available software, judging its appropriateness, and take steps to adjust or extend the software when needed (note that this does not imply the students’ ability to implement such adjustments/extensions themselves).
Content
On the basis of the seminal handbook Speech and Language Processing by Jurafsky and Martin, we examine the various linguistic levels that are being processed automatically (e.g. speech or syntax), the information that can be derived from that processing (e.g. for purposes of information retrieval or text correction), and the techniques that are used for the actual processing (e.g. finite state machines or Hidden Markov Models).

You will work through selected chapters from the handbook, including exercises. In selected cases, you will obtain hands-on experience with available systems and/or techniques.
Assumed previous knowledge
Some experience with programming (not any specific programming language, but programming in general) and statistics

Required materials
Book
Title:Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.
Author:Jurafsky, D. and J.M. Martin
Publisher:London: Pearson. 2009.

Instructional modes
Seminar
Attendance MandatoryYes

Tests
Written exam
Test weight40
Test typeWritten exam
OpportunitiesBlock PER 1, Block PER 2

Minimum grade
5

Written exam
Test weight60
Test typeWritten exam
OpportunitiesBlock PER 2, Block PER 4

Minimum grade
5