Lingua::Stem::UniNE::CS - Czech stemmer River stage one • 1 direct dependent • 1 total dependent

Light and aggressive stemmers for the Czech language. The light stemmer removes grammatical case endings from nouns and adjectives, possessive adjective endings from names, and takes care of palatalization. The aggressive stemmer also removes diminut...

PATCH/Lingua-Stem-UniNE-0.08 - 27 Aug 2014 01:54:53 UTC

Lingua::Stem::Patch::EO - Esperanto stemmer River stage one • 1 direct dependent • 1 total dependent

Light and aggressive stemmers for the universal language Esperanto. This is a new project under active development and the current stemming algorithm is likely to change. This module provides the "stem" and "stem_eo" functions for the light stemmer, ...

PATCH/Lingua-Stem-Patch-0.06 - 13 Feb 2015 23:47:57 UTC

Lingua::Stem::UniNE::DE - German stemmer River stage one • 1 direct dependent • 1 total dependent

Light and aggressive stemmers for the German language. The light stemmer removes plural endings and umlauts. The aggressive stemmer also removes inflectional suffixes and additional diacritics. This module provides the "stem" and "stem_de" functions ...

PATCH/Lingua-Stem-UniNE-0.08 - 27 Aug 2014 01:54:53 UTC

Lingua::Stem::UniNE::FA - Persian stemmer River stage one • 1 direct dependent • 1 total dependent

A stemmer for the Persian (Farsi) language. This module provides the "stem" and "stem_fa" functions, which are synonymous and can optionally be exported. They accept a single word and return a single stem....

PATCH/Lingua-Stem-UniNE-0.08 - 27 Aug 2014 01:54:53 UTC

Lingua::Stem::Patch::PL - Polish stemmer River stage one • 1 direct dependent • 1 total dependent

A stemmer for the Polish language. This module provides the "stem" and "stem_pl" functions for the light stemmer, which are synonymous and can optionally be exported. They accept a character string for a word and return a character string for its ste...

PATCH/Lingua-Stem-Patch-0.06 - 13 Feb 2015 23:47:57 UTC

Lingua::Stem::Patch::IO - Ido stemmer River stage one • 1 direct dependent • 1 total dependent

Light and aggressive stemmers for the universal language Ido. This is a new project under active development and the current stemming algorithm is likely to change. This module provides the "stem" and "stem_io" functions for the light stemmer, which ...

PATCH/Lingua-Stem-Patch-0.06 - 13 Feb 2015 23:47:57 UTC

Lingua::Stem::AutoLoader - A manager for autoloading Lingua::Stem modules River stage three • 15 direct dependents • 125 total dependents

Sets up the autoloader to load the modules in the Lingua::Stem system on demand. Lingua::Stem::Da - Danish Lingua::Stem::De - German Lingua::Stem::En - English Lingua::Stem::Fr - French Lingua::Stem::Gl - Galician Lingua::Stem::It - Italian Lingua::S...

SNOWHARE/Lingua-Stem-2.31 - 26 Sep 2020 06:27:58 UTC

Lingua::Stem::Snowball::Ca - Perl interface to Snowball stemmer for the Catalan language. River stage zero No dependents

Stemming reduces related words to a common root form -- for instance, "horse", "horses", and "horsing" all become "hors". Most commonly, stemming is deployed as part of a search application, allowing searches for a given term to match documents which...

LVALIUKAS/Lingua-Stem-Snowball-Ca-0.01 - 22 Nov 2017 12:27:49 UTC

Lingua::Stem::Snowball::No - Porters stemming algorithm for Norwegian River stage three • 1 direct dependent • 126 total dependents

The stem function takes a scalar as a parameter and stems the word according to Martin Porters Norwegian stemming algorithm, which can be found at the Snowball website: <http://snowball.tartarus.org/>. It also supports caching if you pass the use_cac...

ASKSH/Snowball-Norwegian-1.2 - 08 May 2007 19:55:54 UTC

Lingua::Stem::Snowball::Da - Porters stemming algorithm for Denmark River stage three • 1 direct dependent • 126 total dependents

The stem function takes a scalar as a parameter and stems the word according to Martin Porters Danish stemming algorithm, which can be found at the Snowball website: <http://snowball.tartarus.org/>. It also supports caching if you pass the use_cache ...

CINE/Lingua-Stem-Snowball-Da-1.01 - 05 Mar 2003 02:47:51 UTC

Lingua::Stem::Snowball::Se - Porters stemming algorithm for Swedish River stage three • 1 direct dependent • 126 total dependents

The stem function takes a scalar as a parameter and stems the word according to Martin Porters Swedish stemming algorithm, which can be found at the Snowball website: <http://snowball.tartarus.org/>. It also supports caching if you pass the use_cache...

ASKSH/Snowball-Swedish-1.2 - 08 May 2007 20:03:51 UTC

Lingua::Stem::Snowball::Lt - Perl interface to Snowball stemmer for the Lithuanian language. River stage zero No dependents

Stemming reduces related words to a common root form -- for instance, "horse", "horses", and "horsing" all become "hors". Most commonly, stemming is deployed as part of a search application, allowing searches for a given term to match documents which...

LVALIUKAS/Lingua-Stem-Snowball-Lt-0.03 - 27 Nov 2013 15:34:22 UTC

Lingua::Ogmios::Annotations::Stem - Perl extension for the stem annotations River stage zero No dependents

THHAMON/Lingua-Ogmios-0.011 - 13 Sep 2015 16:40:28 UTC

Lingua::AR::Word - Perl extension to find the stem of a given Arabic word River stage zero No dependents

This module will take care of finding the stem of an Arabic word, through chopping the prefixes and suffixes of the word and by taking away unnecessary letters in the middle of the word....

BENAZZO/Lingua-AR-Word-1.5.7 - 15 Jul 2012 14:39:44 UTC

Lingua::AR::Word - Perl extension to get the stem and ArabTeX encoding of Arabic words River stage zero No dependents

In order to work on an Arabic word, you need to create the object Lingua::AR::Word, passing the Arabic word encoded in utf8 to the constructor. You will then be able to get the stem through get_stem(). You will get the ArabTeX translittered form thro...

BENAZZO/Lingua-AR-Word-1.5.7 - 15 Jul 2012 14:39:44 UTC

Lingua::StopWords - Stop words for several languages. River stage two • 15 direct dependents • 32 total dependents

In keyword search, it is common practice to suppress a collection of "stopwords": words such as "the", "and", "maybe", etc. which exist in in a large number of documents and do not tell you anything important about any document which contains them. T...

WOLLMERS/Lingua-StopWords-0.12 - 18 Apr 2021 08:32:07 UTC

Lingua::DE::Tagger - Part-of-speech tagger for German natural language processing. River stage one • 1 direct dependent • 1 total dependent

The module is a probability based, corpus-trained tagger that assigns POS tags to German text based on a lookup dictionary and a set of probability values. The tagger assigns appropriate tags based on conditional probabilities - it examines the prece...

TSCHULZ/Lingua-DE-Tagger-0.16 - 11 Jul 2008 18:05:56 UTC

Lingua::DE::Tagger - Part-of-speech tagger for German natural language processing. River stage zero No dependents

The module is a probability based, corpus-trained tagger that assigns POS tags to German text based on a lookup dictionary and a set of probability values. The tagger assigns appropriate tags based on conditional probabilities - it examines the prece...

TSCHULZ/FreeHAL-71 - 09 Nov 2008 17:36:12 UTC

Lingua::EN::Tagger - Part-of-speech tagger for English natural language processing. River stage three • 6 direct dependents • 106 total dependents

The module is a probability based, corpus-trained tagger that assigns POS tags to English text based on a lookup dictionary and a set of probability values. The tagger assigns appropriate tags based on conditional probabilities - it examines the prec...

ACOBURN/Lingua-EN-Tagger-0.31 - 12 Jul 2019 15:32:49 UTC

Lingua::GL::Stemmer - Galician Stemmer River stage three • 1 direct dependent • 126 total dependents

Galician is an endangered language spoken in northwest region of Spain. Galician is morphologically similar to Portuguese but phonetics differs greatly. Due to the morphological similarity between Portuguese and Galician, Portuguese stemming algorith...

NEILB/Lingua-PT-Stemmer-0.02 - 07 Feb 2016 22:40:51 UTC
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