论文标题
使用神经网络扩展虚构语言的词汇
Extending the Vocabulary of Fictional Languages using Neural Networks
论文作者
论文摘要
近年来，虚构的语言在小说，电影，电视节目，漫画和视频游戏中变得越来越流行。尽管其中一些虚构的语言具有完整的词汇量，但大多数语言却没有。我们建议解决问题的深度学习解决方案。使用样式转移和机器翻译工具，我们为给定的目标虚构语言生成了新单词，同时保持其创建者的样式，从而扩展了这种语言词汇。
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.
