Extending the Vocabulary of Fictional Languages using Neural Networks
Computation and Language
2022-01-20 v1
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.
Keywords
Cite
@article{arxiv.2201.07288,
title = {Extending the Vocabulary of Fictional Languages using Neural Networks},
author = {Thomas Zacharias and Ashutosh Taklikar and Raja Giryes},
journal= {arXiv preprint arXiv:2201.07288},
year = {2022}
}
Comments
10 pages, 1 figure, NeurIPS Workshop on Machine Learning for Creativity and Design 2021