Search Results for "stemming"

Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....

...Allow you to effortlessly repair your Java coding issues with just a click. Dozens of rules to ensure your tests are always as clean as your code! Dedicated rules to detect vulnerabilities including ones stemming from OWASP & CWE Top 25 guidelines. It all comes from a powerful analysis engine that we constantly refine. Sonar employs advanced rules along with smart, exclusive analysis techniques to find the trickiest, most elusive issues.

MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs. MongoLantern 0.7 - Stable/Production Release: 1. MongoLantern API support enabled. 2. CSV indexer added as a plugin. 3. node.js API client added.

Contextual rule-based text normalization engine written in java, that can be used to implement stemming algorithms or phonetic normalizers. The project includes a french stemmer/phonetic normalizer, and a soundex implementation. Includes a Lucene Analyzer

A collection of implementations of the Lovins stemmer as described in "Development of a Stemming Algorithm" by Julie Beth Lovins (published in "Mechanical translation and computational linguistics", 11:22-31, 1968).