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Regular version of the site

Book chapter

Guess who? Multilingual Approach For The Automated Generation Of Author-Stylized Poetry

P. 787-794.
Tikhonov A., Ivan P. Yamshchikov.

This paper addresses the problem of stylized text generation in a multilingual setup. A version of a language model based on a long short-term memory (LSTM) artificial neural network with extended phonetic and semantic embeddings is used for stylized poetry generation. The quality of the resulting poems generated by the network is estimated through bilingual evaluation understudy (BLEU), a survey and a new cross-entropy based metric that is suggested for the problems of such type. The experiments show that the proposed model consistently outperforms random sample and vanilla-LSTM baselines, humans also tend to associate machine generated texts with the target author.

In book

Edited by: D. Dimitriadis, G. Potamianos. Institute of Electrical and Electronics Engineers Inc., 2018.