Both the LSTM systems we introduced and the baseline require a training set of a considerable size.
the LSTM model uses 256dimensional embeddings of token sequences and cannot be expected to perform well if trained on a thousand parallel sentences, which is the size of the commonly used data sets (Knight & Marcu, 2000;Clarke & Lapata, 2006).