A Comparison of Neural Models for Word Ordering
Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adrià de Gispert, Bill Byrne · 2017
We compare several language models for the word-ordering task and propose a new bagto-sequence neural model based on attentionbased sequence-to-sequence models.We evaluate the model on a large German WMT data set where it significantly outperforms existing models.We also describe a novel search strategy for LM-based word ordering and report results on the English Penn Treebank.Our best model setup outperforms prior work both in terms of speed and quality.