Machine Translation Evaluation with Neural Networks
Table 8: Results for baseline and LSTM-based model without syntactic embeddings.
['[BOLD] Details', '[BOLD] Kendall’s  [ITALIC] τ  [BOLD] cz', '[BOLD] Kendall’s  [ITALIC] τ  [BOLD] de', '[BOLD] Kendall’s  [ITALIC] τ  [BOLD] es', '[BOLD] Kendall’s  [ITALIC] τ  [BOLD] fr', '[BOLD] Kendall’s  [ITALIC] τ  [BOLD] AVG']
Another general observation is that fine tuning and composition with LSTMs did not yield improvements to the extent that we had expected. In this setting, LSTM yields a larger gain of +0.31.