Using Parallel Corpora in Data-Driven Teaching of Turkish in Sweden.
2010 (English)Conference paper, Abstract (Refereed)
The paper demonstrates how data-driven learning methods are applied in teaching Turkish as a foreign language at the Department of Linguistics and Philology, Uppsala University. In data-driven teaching, language corpora, concordance programs, and annotation tools developed in collaboration with computational linguists are employed. This paper illustrates how resources developed initially for research purposes in different subjects (such as Computational Linguistics, Linguistics, Turkic languages), are now being used in teaching environments.
We present the Swedish-Turkish parallel corpus providing students and researchers with easily accessible annotated linguistic data. The web-based corpora can be used both by regular and distance students. They function also as learning tools for formulating and testing hypotheses concerning lexical, morphological and syntactic aspects of Turkish. Furthermore, they help the students to practice contrastive studies and translation between Swedish and Turkish.
Place, publisher, year, edition, pages
2010. 1686-1689 p.
parallel corpora, language teaching
Language Technology (Computational Linguistics) Specific Languages
Research subject Computational Linguistics; Turkic languages
IdentifiersURN: urn:nbn:se:uu:diva-140594OAI: oai:DiVA.org:uu-140594DiVA: diva2:384027
The International Educational Technology Conference (IETC). April 2010, Boğaziçi University.
ProjectsMultilingual parallel corpus