G H I N R S T V

G

getConfidence() - Method in class vardwrapper.Normalisation
The confidence score of the top normalisation.
getConfidence() - Method in class vardwrapper.Suggestion
Gets the confidence score for the suggestion.
getCorrectTokenCount() - Method in class vardwrapper.NormalisationStats
Gets the number of tokens which are considered 'correct', i.e.
getCorrectTypeCount() - Method in class vardwrapper.NormalisationStats
Gets the number of word types which are considered 'correct', i.e.
getFileName() - Method in class vardwrapper.NormalisationStats
Gets the file name.
getNormalisation() - Method in class vardwrapper.Suggestion
Gets the suggested normalisation word.
getNormalisationSuggestions(String, int) - Method in class vardwrapper.VARD
Gets a list of normalisation suggestions ranked by confidence score (descending) for the given variant.
getNormalised() - Method in class vardwrapper.Normalisation
The top normalisation found, whether or not isNormalised is true.
getOriginal() - Method in class vardwrapper.Normalisation
The original word to be normalised, always present.
getReplacedTokenCount() - Method in class vardwrapper.NormalisationStats
Gets the number of tokens which have been normalised.
getReplacedTypeCount() - Method in class vardwrapper.NormalisationStats
Gets the number of word types which have been normalised.
getThreshold() - Method in class vardwrapper.VARD
 
getTokenCount() - Method in class vardwrapper.NormalisationStats
Gets the total token count.
getTypeCount() - Method in class vardwrapper.NormalisationStats
Gets the total types count.
getVariantTokenCount() - Method in class vardwrapper.NormalisationStats
Gets the variant token count, that is those tokens which are still considered variants after normalisation, hence those variants for which an appropriate normalisation wasn't found.
getVariantTypeCount() - Method in class vardwrapper.NormalisationStats
Gets the variant type count, that is those word types which are still considered variants after normalisation, hence those variants for which an appropriate normalisation wasn't found.

G H I N R S T V