Generalizing and Hybridizing Count-based and Neural Language Models

Graham Neubig, Chris Dyer


Anthology ID:
D16-1124
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1163–1172
Language:
URL:
https://aclanthology.org/D16-1124
DOI:
10.18653/v1/D16-1124
Bibkey:
Cite (ACL):
Graham Neubig and Chris Dyer. 2016. Generalizing and Hybridizing Count-based and Neural Language Models. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1163–1172, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Generalizing and Hybridizing Count-based and Neural Language Models (Neubig & Dyer, EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1124.pdf
Video:
 https://vimeo.com/239247025
Code
 neubig/modlm