Literary and Linguistic Computing · 2007 · 40 citations · 7 references
Language StudiesComputer ScienceLinguisticsApplied LinguisticsComputational LinguisticsNatural Language ProcessingIrregular Word SpellingWord RecognitionGermanic Spelling PatternsSpelling Error DetectionSpelling RecognitionSpelling Variation AnalysisWord Recognition Automaticity
In this article, we describe the respective approaches we have taken when addressing issues of spelling variation in German and English historical texts. More specifically, we describe an experiment to evaluate automatic techniques for the development of letter replacement heuristics against manually created gold standards of known letter replacements rules. As will become clear, the motivation for the research differs according to the team of researchers: the German researchers are seeking to develop a search engine for historical texts; the English researchers want to improve the results obtained when applying corpus linguistic techniques (developed for modern language) to historical data. However, the respective teams do share a longer term goal of assessing whether it is possible to develop a generic spelling detection tool for Indo-European languages.
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THE PROBABILITY RANKING PRINCIPLE IN IR
Stephen Robertson · Journal of Documentation · 1977 · 1.1K citations
Evaluation of string distance algorithms for dialectology
Wilbert Heeringa, Peter Kleiweg, Charlotte Gooskens et al. · 2006 · 77 citations · Full text