Libraries tagged by stemming

teamtnt/tntsearch

3211 Favers
3331907 Downloads

A fully featured full text search engine written in PHP

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loupe/loupe

523 Favers
320115 Downloads

A full text search engine with tokenization, stemming, typo tolerance, filters and geo support based on only PHP and SQLite

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sastrawi/sastrawi

438 Favers
82094 Downloads

PHP library for stemming Indonesian language (Bahasa Indonesia)

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nadar/stemming

17 Favers
181182 Downloads

Stemming by Language

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webd/language

29 Favers
196101 Downloads

A library for language processing. Includes string distance function (Levenshtein, Jaro-Winkler,...), stemming, etc.

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amaccis/php-stemmer

15 Favers
35424 Downloads

A PHP interface to the Snowball stemming algorithms

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nqxcode/lucene-stemmer-en-ru

1 Favers
18367 Downloads

ZendSearch morphology token filter for english and russian words.

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cywolf/nlp-tools

2 Favers
3285 Downloads

Natural Language Processing tools for TYPO3 with language detection, stemming, stop words filtering, and text clustering

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tenqz/lingua

4 Favers
1 Downloads

A comprehensive PHP library for advanced text processing using Chain of Responsibility pattern

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jbboehr/php-stemmer

11 Favers
1 Downloads

PHP bindings for the Snowball stemming library

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algenza/fzt-stemming

0 Favers
35 Downloads

Stemming Porter Bahasa Indonesia berdasarkan publikasi ilmiah Fadillah Z Tala : A Study of Stemming Effects on Information Retrieval in Bahasa Indonesia

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yeremi/stopwords

0 Favers
15 Downloads

Stopwords is a lightweight and efficient PHP library designed to simplify Natural Language Processing (NLP) tasks.

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rizanola/draconic

0 Favers
4 Downloads

A drop-in package for full-text searches. Supports typo correction and word stemming.

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rf1705/tntsearch

0 Favers
6878 Downloads

A fully featured full text search engine written in PHP

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onstage2426/fuzor

1 Favers
115 Downloads

Dependency-free full-text search for PHP. BM25 ranking, fuzzy and boolean modes, search-as-you-type prefix matching, stopword filtering and Snowball stemming for 62 languages, snippet extraction and result highlighting — one SQLite file, zero infrastructure.

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