Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?

Kevin Yancey, Yves Lepage


Anthology ID:
L18-1068
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
https://aclanthology.org/L18-1068
DOI:
Bibkey:
Cite (ACL):
Kevin Yancey and Yves Lepage. 2018. Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words? (Yancey & Lepage, LREC 2018)
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PDF:
https://aclanthology.org/L18-1068.pdf