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Measured by summing the number of lexical items that have an edit distance Speaking, the neighbourhood density of a particular lexical item is Phonological edit distance, described in the following section. All such one-symbolĬhanges are treated as equal in Levenshtein edit distance, unlike Method of calculation ¶ Levenshtein Edit Distance ¶Įdit distance is defined as the minimum number of one-symbol deletions,Īdditions, and substitutions necessary to turn one string into another.įor example, turn and burn would have an edit distance of 1, as the onlyĬhange necessary is to turn the into a, while the edit distanceīetween turn and surfs would be 3, with becoming, becoming Number of words that fit the criterion for being a neighbour. For example, it might differ by maximally one phone (through deletion,Īddition, or subsitution) from X. “neighbour” of some word X is a word that is similar in some close way Which has been shown to affect phonological processing. Some measure of string similarity is also used to calculate neighbourhoodĭensity (e.g. Of calculating the frequency with which two sounds alternate with each With the Frequency of Alternation function of PCT (see Frequency of alternation) as a means In particular, it can be used in conjunction Relatedness, if used in conjunction with a measure of semantic similarity String similarity could be part of a calculation of morphological
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How phonologically close any two words might be. It is, however, also useful for determining Than phonology it is, for example, used in Natural Language ProcessingĪpplications to determine, for example, possible alternative spellings String similarity finds more widespread use in areas of linguistics other Measure of overall form-based similarity. Phonemes both of the methods of calculation included in PCT allow forĬalculations using either type of character. These character strings can be strings of letters or String similarity is any measure of how similar any two sequences ofĬharacters are.