Extending the Vocabulary of Fictional Languages using Neural Networks
Thomas Zacharias · Raja Giryes
2021 Paper Oral
in
Workshop: Machine Learning for Creativity and Design
in
Workshop: Machine Learning for Creativity and Design
Abstract
Fictional languages have become increasingly popular over the recent years appearing in novels, movies, TV shows, comics, and video games. While some of these fictional languages have a complete vocabulary, most do not. We propose a deep learning solution to the problem. Using style transfer and machine translation tools, we generate new words for a given target fictional language, while maintaining the style of its creator, hence extending this language vocabulary.
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