Is it possible that a CNN has better accuracy than RNN in word classification?
CNN considers only the current input while RNN considers the current input and also the previously received inputs. It can memorize previous inputs due to its internal memory


Here's a comparative study on RNN vs CNN on different problems.



As you can see RNN-GRU outperforms CNN on most of the cases