An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering
Jiangming Liu, Yue Zhang · 2015
Syntactic language models and N-gram language models have both been used in word ordering.In this paper, we give an empirical comparison between N-gram and syntactic language models on word order task.Our results show that the quality of automatically-parsed training data has a relatively small impact on syntactic models.Both of syntactic and N-gram models can benefit from large-scale raw text.Compared with N-gram models, syntactic models give overall better performance, but they require much more training time.In addition, the two models lead to different error distributions in word ordering.A combination of the two models integrates the advantages of each model, achieving the best result in a standard benchmark.