Kies de Nederlandse taal
Course module: 880024-M-6
Current Directions in Language Learning
Course info
Course module880024-M-6
Credits (ECTS)6
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Humanities and Digital Sciences; TSH: Commun. and Inform. Sciences; TSH: Department Communication and Cognition;
Is part of
M Communication and Information Sciences (research)
M Linguistics and Communication Sciences (research)
Convenant TSH
Contact persondr. A. Alishahi
Coordinator course
dr. A. Alishahi
Other course modules lecturer
dr. A. Alishahi
Other course modules lecturer
dr. M.M. van Zaanen
Other course modules lecturer
Academic year2018
Starting block
Course mode
RemarksThis information is not up to date. Check the Course Catalog 2019 or select the course via “Register”.
Registration openfrom 20/08/2018 09:00 up to and including 31/07/2019
After taking this course, the students will be able to
  • describe, characterize and compare probabilistic and structural frameworks for representing language;
  • characterize and discuss the relationship between the language representation frameworks and the cognitive processes involved in various aspects of language acquisition (such as word learning or speech segmentation);
  • evaluate and analyze computational models of language learning.
Research masters students who take this course are expected to follow the lectures of the course \"Cognitive Models of Language Learning\". The final evaluation will be based on a research project, the topic of which will be determined after meeting with the instructor.
We will discuss using formal models for studying human language learning. In the first part of the course, we will focus on the high-level objectives of studying human language, the general properties of computational models of language learning, and the most common frameworks for developing them. In the second half of the coursewe will focus on the cognitive processes involved in human language acquisition including speech segmentation, the association of words to meanings, learning language structure, and formation of linguistic categories, and analyze a number of computational models of each of these aspects.
Timetable information
880024-M-6|Current Directions in Language Learning
Written test opportunities
Written test opportunities (HIST)
Schriftelijk / WrittenEXAM_01BLOK 1115-10-2018
Schriftelijk / WrittenEXAM_01BLOK 1207-01-2019
Required materials
Research articles and book chapters, announced through Blackboard.
Recommended materials
Alishahi, A.(2010). Computational Modeling of Human Language Acquisition.Synthesis Lectures on Human Language Technologies, 3(1), Morgan & Claypool(get a copyfrom the UvT Library).


Kies de Nederlandse taal