CUED Publications database

A Comparison of Neural Models for Word Ordering

Hasler, E and Stahlberg, F and tomalin, M and de, GA and Byrne, WJ A Comparison of Neural Models for Word Ordering. In: International Conference on Natural Language Generation (INLG 2017), 2017-9-4 to --. (Unpublished)

Full text not available from this repository.


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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 25 Jul 2017 03:54
Last Modified: 19 Jul 2018 07:30