In the current paper we present a new method, called SynPOS: Syntactic analysis using POS-tags. SynPOS is applied to a corpus of spoken human-machine interactions. The results show that language learners of Dutch often make syntactical errors, that there are many different types of syntactical errors, and that their frequencies vary a lot. This information can be used next to select errors and develop exercises for CALL systems.
Cite as: Strik, H., Loo, J.v.d., Doremalen, J.v., Cucchiarini, C. (2010) Practicing syntax in spoken interaction: automatic detection of syntactical errors in non-native utterances. Proc. Second Language Studies: Acquisition, Learning, Education and Technology (L2WS 2010), paper O4-3
@inproceedings{strik10_l2ws,
author={Helmer Strik and Janneke van de Loo and Joost van Doremalen and Catia Cucchiarini},
title={{Practicing syntax in spoken interaction: automatic detection of syntactical errors in non-native utterances}},
year=2010,
booktitle={Proc. Second Language Studies: Acquisition, Learning, Education and Technology (L2WS 2010)},
pages={paper O4-3}
}