Yizkor books: a voice for the silent past
Proceedings of the 17th ACM conference on Information and knowledge management
Online spelling correction for query completion
Proceedings of the 20th international conference on World wide web
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
A generalized hidden Markov model with discriminative training for query spelling correction
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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We describe an adverse environment spelling correction algorithm, known as Segments. Segments is language and domain independent and does not require any training data. We evaluate Segments' correction rate of transcription errors in web query logs with the state-of-the-art learning approach. We show that in environments where learning approaches are not applicable, such as multilingual documents, Segments has an F1-score within 0.005 of the learning approach.