@inproceedings{84a71fa6864545b58f09cb89c2d86462,
title = "CloudSpeller: Query spelling correction by using a unified Hidden Markov Model with Web-scale resources",
abstract = "Query spelling correction is an important component of modern search engines that can help users to express an information need more accurately and thus improve search quality. In this work we proposed and implemented an end-to-end speller correction system, namely CloudSpeller. The CloudSpeller system uses a Hidden Markov Model to effectively model major types of spelling errors in a unified framework, in which we integrate a large-scale lexicon constructed usingWikipedia, an error model trained from high confidence correction pairs, and the Microsoft Web N-gram service. Our system achieves excellent performance on two search query spelling correction datasets, reaching 0.960 and 0.937 F1 scores on the TREC dataset and the MSN dataset respectively. Copyright is held by the author/owner(s).",
keywords = "CloudSpeller, Query spelling correction",
author = "Yanen Li and Huizhong Duan and Zhai, {Cheng Xiang}",
year = "2012",
doi = "10.1145/2187980.2188130",
language = "English (US)",
isbn = "9781450312301",
series = "WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion",
pages = "567--568",
booktitle = "WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion",
note = "21st Annual Conference on World Wide Web, WWW'12 ; Conference date: 16-04-2012 Through 20-04-2012",
}