Extending the Vocabulary of Fictional Languages using Neural Networks
Thomas Zacharias, Ashutosh Taklikar, Raja Giryes · arXiv (Cornell University) · 2022
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.