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arXiv · 1708.01809

A Comparison of Neural Models for Word Ordering

Eva Hasler·Felix Stahlberg·Marcus Tomalin·Adri`a de Gispert·Bill Byrne
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Abstract

We compare several language models for the word-ordering task and propose a new bag-to-sequence neural model based on attention-based 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.

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Eva Hasler, Felix Stahlberg, Marcus Tomalin, Adri`a de Gispert, Bill Byrne. 2017-08-05. A Comparison of Neural Models for Word Ordering. https://arxiv.org/abs/1708.01809

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