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[Utility & Helpers](/categories/utility) 4. / 5. xcalder/languagedetector ActiveLibrary[Utility & Helpers](/categories/utility) xcalder/languagedetector ======================== simple library to classify texts v0.1.1(12y ago)019BSD-4-ClausePHP Since Apr 11Pushed 7y ago1 watchersCompare [ Source](https://github.com/xcalder/LanguageDetector)[ Packagist](https://packagist.org/packages/xcalder/languagedetector)[ RSS](/packages/xcalder-languagedetector/feed)WikiDiscussions master Synced 3d ago READMEChangelogDependencies (1)Versions (6)Used By (0) LanguageDetector [![Build Status](https://camo.githubusercontent.com/7ec31c8fcec9646e190597f381c156bc89bce7de23271fb3e1a6b6001e976b15/68747470733a2f2f7472617669732d63692e6f72672f63726f6461732f4c616e67756167654465746563746f722e706e67)](https://travis-ci.org/crodas/LanguageDetector) [![Flattr this git repo](https://camo.githubusercontent.com/7e3f46a36526479d701ef7f90a0f8c3ac2fbab3087446e2a9fceed75cd1ab802/687474703a2f2f6170692e666c617474722e636f6d2f627574746f6e2f666c617474722d62616467652d6c617267652e706e67)](https://flattr.com/submit/auto?user_id=crodas&url=https://github.com/crodas/LanguageDetector&title=Language%20Detector%20Library&language=en&tags=github&category=software) =========================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================== [](#languagedetector--) PHP Class to detect languages from any free text. It follows the approach described in the [paper](http://scholar.google.com.py/scholar?q=N-Gram-Based+Text+Categorization), a given text is tokenized into [N-Grams](http://en.wikipedia.org/wiki/N-gram) (we cleanup whitespaces before doing this step). Then we sort the `tokens` and we compare against a language `model`. How it works ------------ [](#how-it-works) The first thing we need is a `language model` (which looks like [this file](https://github.com/crodas/LanguageDetector/blob/master/example/datafile.php)) that is used to compare the texts against at classification time. This process must done *before* anything, and it can be generated with an script similar to [this file](https://github.com/crodas/LanguageDetector/blob/master/example/learn.php). ``` // register the autoloader require 'lib/LanguageDetector/autoload.php'; // it could use a little bit of memory, but it's fine // because this process runs once. ini_set('memory_limit', '1G'); // we load the configuration (which will be serialized // later into our language model file $config = new LanguageDetector\Config; $c = new LanguageDetector\Learn($config); foreach (glob(__DIR__ . '/samples/*') as $file) { // feed with examples ('language', 'text'); $c->addSample(basename($file), file_get_contents($file)); } // some callback so we know where the process is $c->addStepCallback(function($lang, $status) { echo "Learning {$lang}: $status\n"; }); // save it in `datafile`. // we currently support the `php` serialization but it's trivial // to add other formats, just extend `\LanguageDetector\Format\AbstractFormat`. //You can check example at https://github.com/crodas/LanguageDetector/blob/master/lib/LanguageDetector/Format/PHP.php $c->save(AbstractFormat::initFormatByPath('language.php')); ``` Once we have our language model file (in this case `language.php`) we're ready to classify texts by their language. ``` // register the autoloader require 'lib/LanguageDetector/autoload.php'; // we load the language model, it would create // the $config object for us. $detect = LanguageDetector\Detect::initByPath('language.php'); $lang = $detect->detect("Agricultura (-ae, f.), sensu latissimo, est summa omnium artium et scientiarum et technologiarum quae de terris colendis et animalibus creandis curant, ut poma, frumenta, charas, carnes, textilia, et aliae res e terra bene producantur. Specialius, agronomia est ars et scientia quae terris colendis student, agricultio autem animalibus creandis.") var_dump($lang); ``` And that's it. Algorithms ---------- [](#algorithms) The project is designed to work with modules, which means you can provide your own algorithm for `sorting` and `comparing` the N-Grams. By default the library implements the [PageRank](http://en.wikipedia.org/wiki/PageRank) as `sorting` algorithm, and *out of place* (described in the paper) as `comparing`. In order to supply your own algorithms, you must change the `$config` at *learning stage* to load your own classes (which by the way should implement some interaces). ### Health Score 26 — LowBetter than 43% of packages Maintenance20 Infrequent updates — may be unmaintained Popularity6 Limited adoption so far Community13 Small or concentrated contributor base Maturity57 Maturing project, gaining track record Bus Factor1 Top contributor holds 78.3% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~0 days Total 2 Last Release 4573d ago ### Community Maintainers ![](https://avatars.githubusercontent.com/u/6959235?v=4)[xcalder](/maintainers/xcalder)[@xcalder](https://github.com/xcalder) --- Top Contributors [![crodas](https://avatars.githubusercontent.com/u/36463?v=4)](https://github.com/crodas "crodas (47 commits)")[![mente](https://avatars.githubusercontent.com/u/391997?v=4)](https://github.com/mente "mente (7 commits)")[![adam-lynch](https://avatars.githubusercontent.com/u/1427241?v=4)](https://github.com/adam-lynch "adam-lynch (2 commits)")[![xcalder](https://avatars.githubusercontent.com/u/6959235?v=4)](https://github.com/xcalder "xcalder (2 commits)")[![pborreli](https://avatars.githubusercontent.com/u/77759?v=4)](https://github.com/pborreli "pborreli (1 commits)")[![sasezaki](https://avatars.githubusercontent.com/u/42755?v=4)](https://github.com/sasezaki "sasezaki (1 commits)") ### Embed Badge ![Health badge](/badges/xcalder-languagedetector/health.svg) ``` [![Health](https://phpackages.com/badges/xcalder-languagedetector/health.svg)](https://phpackages.com/packages/xcalder-languagedetector) ``` ### Alternatives [freshbitsweb/laratables Ajax support of DataTables for Laravel 4871.1M3](/packages/freshbitsweb-laratables)[ahand/mobileesp Since 2008, MobileESP provides web site developers an easy-to-use and lightweight API for detecting whether visitors are using a mobile device, and if so, what kind. 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