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See:
Description
Class Summary | |
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Aspell | This is a wrapper around the command aspell (version .33.7.1-alpha) with its output reformated so that it can be compared with that of JaSpell. |
Benchmark | This is a benchmarking class, usefull for measuring how well this package is doing. |
BloomFilter | Implementation of a Bloom Filter data structure, an elegant alternative to the lookup hash table. |
CommonMisspellings | CommonMisspellings is a simple bad word to good word lookup table. |
DefaultWordFinder | A word finder for normal text documents, which searches text for sequences of words and text blocks.This class also defines common methods and behaviour for the various word finding subclasses. |
JaSpell | This class provides a command line interface for the spelling checking package, similar in style to that of Aspell, also serving as an example of how to use the package from another Java program. |
KeyboardProximity | Implementation of String similarity measures with basis on
Keyboard proximity. |
LevenshteinDistance | This classs holds the methods to compute a modified Levenshtein distance. |
Phonetic | Implementation of Phonetic similarity algorithms (Soundex, Metaphone and Double Metaphone), used to reduce matching problems from wrong spellings. |
SpellChecker | The main class of the spell checking package. |
StringUtils | A collection of String handling utility methods. |
TernarySearchTrie | Implementation of a Ternary Search Trie, a data structure for storing String objects
that combines the compact size of a binary search tree with the speed of a digital search trie, and is
therefore ideal for practical use in sorting and searching data. |
TeXWordFinder | A word finder for TeX and LaTeX documents, which searches text for sequences of letters, but ignores any commands and environments as well as Math environments. |
XMLWordFinder | A word finder for XMLdocuments, which searches text for sequences of letters, but ignores tags. |
Provides Java applications with a spelling checking functionality, implemented with basis on the ternary search tree data structure proposed by Jon Bentley and Bob Sedgewick in the article "Ternary Search Trees".
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