The Phonetic Hash module returns a string attribute that contains the hash value of an input string.
A word's phonetic hash is based on its pronunciation, rather than its spelling. This module uses a phonetic coding algorithm that transforms small text blocks (names, for example) into a spelling-independent hash comprised of a combination of twelve consonant sounds. Thus, similar-sounding words tend to have the same hash. For example, the term "purple" and its misspelled version of "pruple" have the same hash value (PRPL).
Phonetic hashing can used, for example, to normalize data sets in which a data column is noisy (for example, misspellings of people's names).
This module works only with whitespace languages.
Configuration options
This module never runs automatically during a Data Processing sampling operation and therefore there are no configuration options.
In Studio, you can run the module within Transform, but it does not take any arguments other than the input string.
Output
The module returns the phonetic hash of a term in a single-assign Dgraph attribute named <attribute>_phonetic_hash. The value of the attribute is useful only as a grouping condition.