Metaphone definition

Metaphone. (a recognized and accepted phonetic name matching algorithm created by Xxxxxxxx Xxxxxxx and originally published in 1990): “BUDDY” and “XXXXXX.”

Examples of Metaphone in a sentence

• Therefore we retain these features.Compared to the tagger in Gimpel et al., most of our feature changes are in the new lexical features described in §3.5.20 We do not reuse the other lex- ical features from the previous work, including a phonetic normalizer (Metaphone), a name list con- sisting of words that are frequently capitalized, and distributional features trained on a much smaller un- labeled corpus; they are all worse than our new lexical features described here.

• Metaphone is an algorithm for coding words using their English pronunciation.Returns a Metaphone coded key of selected fields for the Spanish language.

• Correction accuracy with additional weighted double Metaphone phonetic similarity.

• This metaphone algorithm codes words using their Spanish pronunciation.Improves upon the Metaphone and Double Metaphone algorithms with more exact consonant and internal vowel settings that allow you to produce words or names more or less closely matched to search terms on a phonetic basis.

• Besides the Soundex al- gorithm, there are other phonetic algorithms available like Metaphone Coding Method [6] and Guth Name-Matching [3].

• This algorithm is commonly used to check data integrity.Returns a Metaphone coded key of selected fields.

• Their method combines normalized absolute Levenshtein distance with Metaphone phonetic similarity and language model similarity.

• Double Metaphone is an improved version of the Metaphone algorithm, and attempts to account for the many irregularities found in different languages.Indexes names by sound as they are pronounced in German.

• Besides employing these language models, we explored whether adding double Metaphone phonetic similarity [41] improves correction.

• Double Metaphone is an improved version of the Metaphone algorithm, and attempts to account for the many irregularities found in different languages.Determines the similarity between two strings based on the number of deletions, insertions, or substitutions required to transform one string into another.Provides a similarity measure between two strings using the vector space of combined terms as the dimensions.