[LUCENE-9044] Currently Lucene doesn't have an analyzer for Sinhala. We have built analyzer which consist of language dependent tokenizer, stemming algorithm and list of stop words.

• Type: New Feature
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Fix Version/s: 5.5.6
• Component/s: modules/analysis
• Labels: features

Environment

Lucene

• Lucene Fields: New
• Assignee: Unassigned
• Reporter: pavithra kariyawasam
• Created: 13/Nov/19 06:22
• Updated: 28/Aug/22 15:52

Description

This component is developed based on three main researches.
Lucene did not have component to analyze Sinhala documents. So our intension is to fill that space with an Analyzer which can analyze Sinhala documents. Sinhala Analyzer has implemented by performing Sinhala morphological analysis. Tokenizing the document content precisely, Removing stopwords accordingly and converting the terms to its base/root form accurately are the main three functionalities of Sinhala Analyzer. These are built by considering the grammatical rules in Sinhala

Issue Links

• is related to: LUCENE-9043 Currently Lucene doesn't have an analyzer for Sinhala. We have built analyzer which consist of language dependent tokenizer, stemming algorithm and list of stop words.