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Diffstat (limited to 'readme.md')
| -rwxr-xr-x | readme.md | 5 |
1 files changed, 2 insertions, 3 deletions
@@ -2,7 +2,7 @@ A small library of string metrics and phonetic algorithms implemented in Scala. Each metric and algorithm has a CLI. * __Phonetic metrics__ determine if two arguments sound the same phonetically. -* __Phonetic algorithms__ provide a means to determine the phonetic representation of the argument passed. All phonetic metrics have a standalone algorithm counterpart. +* __Phonetic algorithms__ provide a means to determine the phonetic representation of the argument passed. All phonetic metrics have an algorithm counterpart. * __Similarity metrics__ determine the distance or coefficient between two arguments. * __Similarity algorithms__ provide a means to access underlying similarity metric functionality, when applicable. An example is the N-Gram algorithm, which provides a means to get n-grams for a given argument with a specific n. * __Filters__, which can optionally be applied to metrics and algorithms, clean up arguments prior to evaluation. Filtering rules can easily be combined via trait stacking. @@ -72,8 +72,7 @@ if (distance >= 0.9) println("It's likely you're a match!") Basic example with single filter. ```scala -import org.hashtree.stringmetric.StringFilterDelegate -import org.hashtree.stringmetric.filter.AsciiLetterCaseStringFilter +import org.hashtree.stringmetric.filter.{ AsciiLetterCaseStringFilter, StringFilterDelegate } import org.hashtree.stringmetric.similarity.JaroWinklerMetric val distance = JaroWinklerMetric.compare("string1", "string2") |