GUPEA >
Student essays / Studentuppsatser >
Department of Philosophy,Lingustics and Theory of Science / Institutionen för filosofi, lingvistik och vetenskapsteori >
Magisteruppsatser/ Institutionen för filosofi, lingvistik och vetenskapsteori >

NLP methods for the automatic generation of exercises for second language learning from parallel corpus data


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/66583

Files in This Item:

File Description SizeFormat
gupea_2077_66583_1.pdfStudent essay859KbAdobe PDF
View/Open
Title: NLP methods for the automatic generation of exercises for second language learning from parallel corpus data
Authors: Zanetti, Arianna
Issue Date: 25-Sep-2020
Degree: Student essay
Keywords: ICALL
language learning
parallel corpus
exercise generation
Abstract: Intelligent Computer Assisted Language Learning (ICALL), or Intelligent Computer Assisted Language Instruction (ICALI), is a field of research that combines Artificial Intelligence and Computer Assisted Language Learning (CALL) in order to produce tools that can aid second language learners without human intervention. The automatic generation of exercises for language learners from a corpus enables the students to self-pace learning activities and offers a theoretically infinite, un-mediated an... more
URI: http://hdl.handle.net/2077/66583
Appears in Collections:Magisteruppsatser/ Institutionen för filosofi, lingvistik och vetenskapsteori

 

 

© Göteborgs universitet 2011