Extending the Vocabulary of Fictional Languages using Neural Networks

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.

10 pages, 1 figure, NeurIPS Workshop on Machine Learning for Creativity and Design 2021