# A Comparison of Neural Models for Word Ordering

arXiv: https://arxiv.org/abs/1708.01809 · HTML: https://mlsanity.com/paper/1708.01809/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Aug 2017.

## Built on by (most cited first, 1 of 1)

- [On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART](https://mlsanity.com/paper/2204.07367/) (2022)

## Abstract (arXiv)

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.