The first part of the lecture explores the topic of learner corpora in second language 
acquisition. Learner corpora are collections of texts produced by non-native speakers. 
The first learner corpora appeared at the end of the 1980s. One of the first learner 
corpora was the International Corpus of Learner English, established at the Catholic 
University in Louvain, Belgium. The development of language corpora in languages other 
than English has led to the emergence of learner corpora for languages, such as Czech, 
German, and Polish which form the core of this presentation.The second part of the talk 
focuses on the Data-driven learning (DDL) method. This method uses real language data 
from learner corpora to improve language teaching and learning. By using DDL, teachers 
can offer students real examples of language use, making learning more effective and 
engaging. The presentation will include case studies and examples of concrete 
applications of DDL in the teaching and learning of a foreign language.

Bio: Adrian Zasina Ph.D. holds a MA in Slavic Studies and a Ph.D. in Mathematical 
Linguistics (a branch of Corpus Linguistics). He is currently the Head of the Institute of 
Czech and Deaf Studies at Charles University in Prague. His main research interests 
include data-driven learning, corpus linguistics, parallel corpora, grammar of 
contemporary Czech and Polish, language variability, and corpus-assisted discourse 
studies.

When: Thursday, 20.06.2024, 12:15 c.t.
Where: Carl-Zeiß-Straße 3, Raum 385 or Zoom: 

Meeting ID: 621 5568 3040
Passcode: 364292