Modelling semantic acquisition in second language learning

Ekaterina Kochmar, Ekaterina Shutova


Abstract
Using methods of statistical analysis, we investigate how semantic knowledge is acquired in English as a second language and evaluate the pace of development across a number of predicate types and content word combinations, as well as across the levels of language proficiency and native languages. Our exploratory study helps identify the most problematic areas for language learners with different backgrounds and at different stages of learning.
Anthology ID:
W17-5033
Volume:
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Joel Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
293–302
Language:
URL:
https://aclanthology.org/W17-5033
DOI:
10.18653/v1/W17-5033
Bibkey:
Cite (ACL):
Ekaterina Kochmar and Ekaterina Shutova. 2017. Modelling semantic acquisition in second language learning. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 293–302, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Modelling semantic acquisition in second language learning (Kochmar & Shutova, BEA 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-5033.pdf