Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation

Aleksey Tikhonov, Ivan P. Yamshchikov


Abstract
This paper addresses author-stylized text generation. Using a version of a language model with extended phonetic and semantic embeddings for poetry generation we show that phonetics has comparable contribution to the overall model performance as the information on the target author. Phonetic information is shown to be important for English and Russian language. Humans tend to attribute machine generated texts to the target author.
Anthology ID:
W18-5813
Volume:
Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
October
Year:
2018
Address:
Brussels, Belgium
Editors:
Sandra Kuebler, Garrett Nicolai
Venue:
EMNLP
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
117–124
Language:
URL:
https://aclanthology.org/W18-5813
DOI:
10.18653/v1/W18-5813
Bibkey:
Cite (ACL):
Aleksey Tikhonov and Ivan P. Yamshchikov. 2018. Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation. In Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 117–124, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation (Tikhonov & Yamshchikov, EMNLP 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-5813.pdf