A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition

Anthology ID:: K16-1011
Volume:: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
Month:: August
Year:: 2016
Address:: Berlin, Germany
Venue:: CoNLL
SIG:: SIGNLL
Publisher:: Association for Computational Linguistics
Note:
Pages:: 105–114
Language:
URL:: https://aclanthology.org/K16-1011
DOI:: 10.18653/v1/K16-1011
Bibkey:
Cite (ACL):: Sarah Hiller and Raquel Fernández. 2016. A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition. In Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pages 105–114, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):: A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition (Hiller & Fernández, CoNLL 2016)
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PDF:: https://preview.aclanthology.org/ingestion-script-update/K16-1011.pdf