Automatic Translating Between Ancient Chinese and Contemporary Chinese with Limited Aligned Corpora
Table 3: Evaluation result (BLEU) of translating between An (ancient) and Con (contemporary) Chinese in test dataset
['[BOLD] Method', '[BOLD] An-Con', '[BOLD] Con-An']
Compared with the basic seq-to-seq model, copying mechanism gives a large improvement, because the source sentences and target sentence share some common representations, we will also give an example in the case study section. Local attention gives a small improvement over the traditional global attention, this can be attributed to shrinking the attention range, because most of the time, the mapping between ancient and contemporary Chinese is clear. A more sophisticated attention mechanism which makes full use of the characteristics of ancient and contemporary Chinese may further improve the performance.