Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models
BibTeX
@MISC{C_exploitingsyntactic,
author = {Wei Xu C},
title = {Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models},
year = {}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
We propose a novel way of incorporating dependency parse and word co-occurrence information into a state-of-the-art web-scale n-gram model for spelling correction. The syntactic and distributional information provides extra evidence in addition to that provided by a web-scale n-gram corpus and especially helps with data sparsity problems. Experimental results show that introducing syntactic features into n-gram based models significantly reduces errors by up to 12.4 % over the current state-of-the-art. The word co-occurrence information shows potential but only improves overall accuracy slightly. 1
