In our assumption, due to the various functions of words, decoding at each time step should not use the identical attention mechanism to extract the required information from the source-side contexts.
we propose our Self-Adaptive Control of Temperature (SACT) to improve the conventional attention mechanism, so that the model can learn to control the scale of the softness of attention for the decoding of different words.