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#stringmetric [![Build Status](https://secure.travis-ci.org/rockymadden/stringmetric.png)](http://travis-ci.org/rockymadden/stringmetric)
A small library of string metrics and phonetic algorithms. Each has a command line interface, is thoroughly unit tested, and performant (verified via microbenchmark suites).
* __Phonetic metrics__ determine if two arguments sound the same phonetically.
* __Phonetic algorithms__ determine the phonetic representation of the argument passed. All phonetic metrics have a standalone algorithm counterpart.
* __Similarity metrics__ determine the distance or coefficient between two arguments.
* __Filters__, which can optionally be applied to metrics and algorithms, clean up arguments prior to evaluation. Filters can be combined via trait stacking.
## Metrics and Algorithms
* __[Dice / Sorensen](http://en.wikipedia.org/wiki/Dice%27s_coefficient)__ (Similarity metric)
* __[Hamming](http://en.wikipedia.org/wiki/Hamming_distance)__ (Similarity metric)
* __[Jaro](http://en.wikipedia.org/wiki/Jaro-Winkler_distance)__ (Similarity metric)
* __[Jaro-Winkler](http://en.wikipedia.org/wiki/Jaro-Winkler_distance)__ (Similarity metric)
* __[Levenshtein](http://en.wikipedia.org/wiki/Levenshtein_distance)__ (Similarity metric)
* __[Metaphone](http://en.wikipedia.org/wiki/Metaphone)__ (Phonetic metric and algorithm)
* __[N-Gram](http://en.wikipedia.org/wiki/N-gram)__ (Similarity metric and algorithm)
* __[NYSIIS](http://en.wikipedia.org/wiki/New_York_State_Identification_and_Intelligence_System)__ (Phonetic metric and algorithm)
* __[Refined NYSIIS](http://www.markcrocker.com/rexxtipsntricks/rxtt28.2.0482.html)__ (Phonetic metric and algorithm)
* __[Refined Soundex](http://ntz-develop.blogspot.com/2011/03/phonetic-algorithms.html)__ (Phonetic metric and algorithm)
* __[Soundex](http://en.wikipedia.org/wiki/Soundex)__ (Phonetic metric and algorithm)
* __Weighted Levenshtein__ (Similarity metric)
## Using the API
Basic example with no filtering.
```scala
import org.hashtree.stringmetric.similarity.JaroWinklerMetric
val distance = JaroWinklerMetric.compare("string1", "string2")
if (distance >= 0.9) println("It's likely you're a match!")
```
Basic example with single filter.
```scala
import org.hashtree.stringmetric.filter.{ AsciiLetterCaseStringFilter, StringFilterDelegate }
import org.hashtree.stringmetric.similarity.JaroWinklerMetric
val distance = JaroWinklerMetric.compare("string1", "string2")
(new StringFilterDelegate with AsciiLetterCaseStringFilter)
if (distance >= 0.9) println("It's likely you're a match!")
```
Basic example with stacked filter. Filters are applied in reverse order.
```scala
import org.hashtree.stringmetric.filter.{ AsciiLetterCaseStringFilter, AsciiLetterOnlyStringFilter, StringFilterDelegate }
import org.hashtree.stringmetric.similarity.JaroWinklerMetric
val distance = JaroWinklerMetric.compare("string1", "string2")
(new StringFilterDelegate with AsciiLetterCaseStringFilter with AsciiLetterOnlyStringFilter)
if (distance >= 0.9) println("It's likely you're a match!")
```
You can also use the StringMetric, StringAlgorithm, and StringFilter convenience objects.
```scala
import org.hashtree.stringmetric.{ StringAlgorithm, StringFilter, StringMetric}
if (StringMetric.compareWithJaroWinkler("string1", "string2") >= 0.9)
println("It's likely you're a match!")
if (StringMetric.compareWithJaroWinkler("string1", "string2")(StringFilter.asciiLetterCase) >= 0.9)
println("It's likely you're a match!")
```
## Using the CLI
Uncompress the built tar and ensure you have ability to execute the commands. Execute the metric of choice via the command line:
The help option prints command syntax and usage.
```shell
jaroWinklerMetric --help
metaphoneMetric --help
metaphoneAlgorithm --help
```
Compare "abc" to "xyz" using the Jaro-Winkler metric.
```shell
jaroWinklerMetric abc xyz
```
Compare "abc "to "xyz" using the Metaphone metric.
```shell
metaphoneMetric abc xyz
```
Get the phonetic representation of "abc" using the Metaphone phonetic algorithm.
```shell
metaphoneAlgorithm abc
```
## Depending on the API (via the [Maven Central Repository](http://search.maven.org/))
* __groupId__: org.hashtree.stringmetric
* __artifactId__: stringmetric-core
## Depending on the CLI (via the [Maven Central Repository](http://search.maven.org/))
* __groupId__: org.hashtree.stringmetric
* __artifactId__: stringmetric-cli
## Building the API (via Gradle)
```shell
gradle :stringmetric-core:jar
```
## Building the CLI (via Gradle)
```shell
gradle :stringmetric-cli:tar
```
## Requirements
* Scala 2.9.x
* Gradle 1.x
## Todo
* SmithWaterman
* MongeElkan
* NeedlemanWunch
* Jaccard
* Double Metaphone
* Memoization decorator
## Versioning
[Semantic Versioning v2.0](http://semver.org/)
## License
[Apache License v2.0](http://www.apache.org/licenses/LICENSE-2.0)
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