Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  explore recent advances in Recurrent Neural Networks for large scale Language Modeling, a task central to language understanding.  extend current models to deal with two key challenges present in this task: corpora and vocabulary sizes, and complex, long term structure of language.  perform an exhaustive study on techniques such as character Convolutional Neural Networks or Long-Short Term Memory, on the One Billion Word Benchmark. Our best single model significantly improves state-of-the-art perplexity from 51.3 down to 30.0 (whilst reducing the number of parameters by a factor of 20), while an ensemble of models sets a new record by improving perplexity from 41.0 down to 23.7.  also release these models for the NLP and ML community to study and improve upon.
['Rafal Jozefowicz', 'Oriol Vinyals', 'Mike Schuster', 'Noam M. Shazeer', 'Yonghui Wu']
I am writing a research paper on a idea Exploring the limits of language modeling
[{"from": "human", "value": "I am writing a research paper on a idea Exploring the limits of language modeling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  explore recent advances in Recurrent Neural Networks for large scale Language Modeling, a task central to language understanding.  extend current models to deal with two key challenges present in this task: corpora and vocabulary sizes, and complex, long term structure of language.  perform an exhaustive study on techniques such as character Convolutional Neural Networks or Long-Short Term Memory, on the One Billion Word Benchmark. Our best single model significantly improves state-of-the-art perplexity from 51.3 down to 30.0 (whilst reducing the number of parameters by a factor of 20), while an ensemble of models sets a new record by improving perplexity from 41.0 down to 23.7.  also release these models for the NLP and ML community to study and improve upon."}]