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Neural network based language models relieve the sparsity challenge Incidentally they encode inputs. Term embedding levels generate an arbitrary sized vector of each and every phrase that comes with semantic relationships too. These continual vectors make the much needed granularity within the chance distribution of another phrase.ebook Generative