Neural network dependent language models simplicity the sparsity challenge Incidentally they encode inputs. Word embedding layers create an arbitrary sized vector of every term that incorporates semantic interactions too. These continuous vectors produce the much necessary granularity during the chance distribution of another term.Concatenating ret