ik analysis for elasticsearch

We have hosted the application ik analysis for elasticsearch in order to run this application in our online workstations with Wine or directly.

Quick description about ik analysis for elasticsearch:

IK Analyzer is an open source, lightweight Chinese word segmentation toolkit developed based on java language. Since the release of version 1.0 in December 2006, IKAnalyzer has launched 4 major versions. Initially, it was a Chinese word segmentation component based on the open source project Luence as the main application, combined with dictionary word segmentation and grammar analysis algorithms. Starting from version 3.0, IK has developed into a common word segmentation component for Java, independent of the Lucene project, and at the same time provides a default optimized implementation of Lucene. In the 2012 version, IK implemented a simple word segmentation ambiguity elimination algorithm, marking the evolution of the IK tokenizer from pure dictionary word segmentation to analog semantic word segmentation.

Features:

• Adopt the unique "forward iterative most fine-grained segmentation algorithm", support two segmentation modes of fine-grained and intelligent word segmentation
• The 2012 version of the smart word segmentation mode supports simple word segmentation and ambiguity processing and quantifier merge output
• Adopts multi-sub-processor analysis mode, supports: word segmentation processing such as English letters, numbers, Chinese vocabulary, etc., compatible with Korean and Japanese characters
• Optimized dictionary storage, smaller memory footprint
• Support user dictionary extension definition. In particular, in the 2012 version, the dictionary supports Chinese, English, and number mixed words
• Provides a simple word segmentation ambiguity elimination algorithm

Programming Language: Java.
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