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Keyword: Short-termOpen AccessArticle
11 Pages, 601 KB 
Learning Literary Style End-to-end with Artificial Neural Networks
Abstract:
This paper addresses the generation of stylized texts in a multilingual setup. A long short-term memory (LSTM) language model with extended phonetic and semantic embeddings is shown to capture poetic style when trained end-to-end without any expert knowledge. Phonetics seems to have a comparable contribution to the overall model performance as the information on the…
Read More(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Artificial Intelligence in Computer Science (CAI))