jstem

jstem is a Java-based library for stemming in natural language processing. It provides a set of stemmers that reduce words to their base forms, facilitating tasks such as indexing, search, and text normalization in Java applications.

Design and scope: The project aims to offer language-aware stemming through a modular, pluggable architecture. It is designed to be lightweight and easy to integrate, supporting streaming processing and Unicode text to accommodate multilingual data.

Algorithms and languages: jstem implements a collection of stemming rulesets for multiple languages, typically built around established stemming methodologies. Each language module encapsulates language-specific morphology so that applications can normalize tokens prior to analysis.

Usage and integration: The library exposes a simple API to obtain stems for individual words or to process large token streams. It is commonly used in search engines, content management pipelines, and NLP research, and can be integrated with Java platforms such as Apache Lucene or Solr, or used in standalone applications.

Development and reception: jstem is maintained by an open-source community with contributions from individual developers and organizations. The project is distributed under an OSI-approved license, with ongoing updates to support newer Java runtimes and additional languages.