This can be partially seen from Table 3, where the OOV words are better handled by CharCNN in terms of in-vocabulary nearest neighbors.
to fully validate the abovementioned expectation we conduct additional experiments: we train two models, CharCNN and MorphSum, on PTB and then we evaluate them on the test set of Wikitext-2 (245K words, 10K wordtypes).