A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing
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Abstract (arXiv)
In recent years, researchers in the area of Computational Creativity have studied the human creative process proposing different approaches to reproduce it with a formal procedure. In this paper, we introduce a model for the generation of literary rhymes in Spanish, combining structures of language and neural network models %(textitWord2vec).%, into a structure for semantic assimilation. The results obtained with a manual evaluation of the texts generated by our algorithm are encouraging.
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References · 2
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
- 2019RIMAX: Ranking Semantic Rhymes by calculating Definition Similaritycited by 1
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