Extending the Vocabulary of Fictional Languages using Neural Networks
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 29 references that are in the map. First posted on arXiv 18 Jan 2022.
Builds on
15 of 29 references.
References · 15
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Citing papers per year: 2024: 1.
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- 2024A Network Analysis Approach to Conlang Research Literature22 Jul 2024