Displaying similar documents to “An isolated word recognition system based on a low-complexity parametrization procedure.”

Correcting spelling errors by modelling their causes

Sebastian Deorowicz, Marcin Ciura (2005)

International Journal of Applied Mathematics and Computer Science

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This paper accounts for a new technique of correcting isolated words in typed texts. A language-dependent set of string substitutions reflects the surface form of errors that result from vocabulary incompetence, misspellings, or mistypings. Candidate corrections are formed by applying the substitutions to text words absent from the computer lexicon. A minimal acyclic deterministic finite automaton storing the lexicon allows quick rejection of nonsense corrections, while costs associated...

Hausdorff Distances for Searching in Binary Text Images

Andreev, Andrey, Kirov, Nikolay (2009)

Serdica Journal of Computing

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This work has been partially supported by Grant No. DO 02-275, 16.12.2008, Bulgarian NSF, Ministry of Education and Science. Hausdorff distance (HD) seems the most efficient instrument for measuring how far two compact non-empty subsets of a metric space are from each other. This paper considers the possibilities provided by HD and some of its modifications used recently by many authors for resemblance between binary text images. Summarizing part of the existing word image matching...

Noun Sense Disambiguation using Co-Occurrence Relation in Machine Translation

Choe, Changil, Kim, Hyonil (2012)

Serdica Journal of Computing

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Word Sense Disambiguation, the process of identifying the meaning of a word in a sentence when the word has multiple meanings, is a critical problem of machine translation. It is generally very difficult to select the correct meaning of a word in a sentence, especially when the syntactical difference between the source and target language is big, e.g., English-Korean machine translation. To achieve a high level of accuracy of noun sense selection in machine translation, we introduced...