Sentence examples for phonetic algorithm from inspiring English sources

Assessments of duplicate cases occur both on the state and national level (potential duplicates are identified based on soundex code [a phonetic algorithm for indexing names by sound, as pronounced in English] and selected demographic characteristics), and elimination of such cases occurs at the state level.

Briefly, a hierarchical algorithm combining an adaptation of the Soundex phonetic algorithm to the Portuguese language and a similarity score for strings implemented in the library difflib from Python [15] was used to determine the degree of similarity between records in the databases.

Metaphone is a phonetic algorithm to encode strings based on phonetic similarity, which works more effectively than the Soundex Coding.

This information is optional, however, so MAGETabulator uses the 'Double Metaphone' phonetic algorithm (Philips, 1990) to match terms used to annotate an experiment to terms from any ontology in OBO format (http://www.geneontology.org/GO.format.obo-1_2.shtml; Smith et al., 2007).

Wilson [ 36] compared phonetic algorithms and hand curated mappings on a genealogical database, finding the hand-curated mappings more appropriate for name matching.

However, in the on-demand MRSE system, it is possible to reduce such errors by implementing tools using phonetic algorithms as described in a previous papers [ 11] or other robust transformations like in [ 12] or in [ 13].

In the case of patients who were in the mortality database, the main reasons for not finding a record were major spelling errors especially for the first letter, which is very sensitive to Soundex-like phonetic algorithms, but also deletion of the last name in the case of persons with 4 or more names—and incorrectly entered dates of birth.

Perform mapping between existing annotations and reference ontologies using the Double Metaphone phonetic matching algorithm.

Cancer diagnosis was established through linkage with the Scottish Cancer Registry using exact matches of patients' forename, surname and date of birth followed by a Soundex phonetic matching algorithm if initial exact matching was unsuccessful.

The linkage was carried out by exact matching of patients' forename, surname and date of birth, followed by a Soundex phonetic matching algorithm if initial exact matching was unsuccessful.

An approach to PPRL was proposed by Karakasidis et al. [8] in 2011 a secure blocking based on phonetic encoding algorithms.