On the other hand, the simplicity of the operation does not allow the model to properly handle more complicated dependencies (such as the order in which the n-grams occur in the text), thus recurrent models perform better given enough data; (ii) the recurrent models have not made its peak yet, suggesting that adding more training data would improve the model's accuracy. This agrees with Figure 3 of the previous evaluation <cite>[1]</cite> .