Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most existing models for multilingual natural language processing (NLP) treat language as a discrete category, and make predictions for either one language or the other. In contrast,  propose using continuous vector representations of language.  show that these can be learned efficiently with a character-based neural language model, and used to improve inference about language varieties not seen during training. In experiments with 1303 Bible translations into 990 different languages,  empirically explore the capacity of multilingual language models, and also show that the language vectors capture genetic relationships beten languages.
['Robert Östling', 'Jörg Tiedemann']
I am writing a research paper on a idea Continuous multilinguality with language vectors
[{"from": "human", "value": "I am writing a research paper on a idea Continuous multilinguality with language vectors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most existing models for multilingual natural language processing (NLP) treat language as a discrete category, and make predictions for either one language or the other. In contrast,  propose using continuous vector representations of language.  show that these can be learned efficiently with a character-based neural language model, and used to improve inference about language varieties not seen during training. In experiments with 1303 Bible translations into 990 different languages,  empirically explore the capacity of multilingual language models, and also show that the language vectors capture genetic relationships beten languages."}]