We present Korektor – a flexible and powerful purely statistical text correction tool for Czech that goes beyond a traditional spell checker. We use a combination of several language models and an error model to offer the best ordering of correction proposals and also to find errors that cannot be detected by simple spell checkers, namely spelling errors that happen to be homographs of existing...

The objective of the work presented in this paper is to estimate the quality of corpora retrieved from the Basque Web. The methodology i followed is similar to that used for English and Germany by Ringlstetter et al. (2006). The main difference lies in the fact that we reuse spelling checkers for detecting errors. We think that by this way we obtain a higher error coverage and that the method c...

BACKGROUND & OBJECTIVES Dengue virus activity has never been reported in the state of Goa. The present study was carried out to document a multilevel geographic distribution, prevalence and preliminary analysis of risk factors for the invasions of Aedes aegypti in Goa. METHODS A geographic information system (GIS) based Ae. aegypti surveys were conducted in dry (April 2002) and wet (July 2002...

We propose a method for modeling pronunciation variation in the context of spell checking for non-native writers of English. Spell checkers, typically developed for native speakers, fail to address many of the types of spelling errors peculiar to non-native speakers, especially those errors influenced by differences in phonology. Our model of pronunciation variation is used to extend a pronounc...

We present a novel, unsupervised, and distance measure agnostic method for search space reduction in spell correction using neural character embeddings. The embeddings are learned by skip-gram word2vec training on sequences generated from dictionary words in a phonetic informationretentive manner. We report a very high performance in terms of both success rates and reduction of search space on ...