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Word Ordering Without Syntax

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2016

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Association for Computational Linguistics
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Schmaltz, Allen, Alexander M. Rush, and Stuart M. Shieber. 2016. Word Ordering Without Syntax. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, TX, November 1-5, 2016.

Abstract

Recent work on word ordering has argued that syntactic structure is important, or even required, for effectively recovering the order of a sentence. We find that, in fact, an n-gram language model with a simple heuristic gives strong results on this task. Furthermore, we show that a long short-term memory (LSTM) language model is even more effective at recovering order, with our basic model outperforming a state-of-the-art syntactic model by 11.5 BLEU points. Additional data and larger beams yield further gains, at the expense of training and search time.

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