Neural machine translation with Gumbel Tree-LSTM based encoder

•An unsupervised tree-to-sequence neural machine translation method is proposed.•Learning latent trees for improving neural machine translation.•Comparisons between Gumbel Tree-based model and the baselines, RNMT and Transformer.•Analysis on the learned tree structures and attention scores on the structures.