An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language

Aneiss Ghodsi, John DeNero


Anthology ID:
W16-6637
Volume:
Proceedings of the 9th International Natural Language Generation conference
Month:
September 5-8
Year:
2016
Address:
Edinburgh, UK
Editors:
Amy Isard, Verena Rieser, Dimitra Gkatzia
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
227–231
Language:
URL:
https://aclanthology.org/W16-6637
DOI:
10.18653/v1/W16-6637
Bibkey:
Cite (ACL):
Aneiss Ghodsi and John DeNero. 2016. An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language. In Proceedings of the 9th International Natural Language Generation conference, pages 227–231, Edinburgh, UK. Association for Computational Linguistics.
Cite (Informal):
An Analysis of the Ability of Statistical Language Models to Capture the Structural Properties of Language (Ghodsi & DeNero, INLG 2016)
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PDF:
https://aclanthology.org/W16-6637.pdf