Content Detail
Fuzzy String Matching -- Approximate Text Similarity
Calculate how similar two strings / texts are by using several established string distance computation methods.
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- Supported Platforms
- Supported Engine Versions4.26 - 4.27, 5.0
- Download TypeEngine PluginThis product contains a code plugin, complete with pre-built binaries and all its source code that integrates with Unreal Engine, which can be installed to an engine version of your choice then enabled on a per-project basis.
Description
Reviews
Questions
How similar are the words "Hello" and "Hallo"? By editing 1 of the 5 letters ("e" to "a") you get the same string. That's a similarity of 80% according to the Levenshtein Edit Distance. Use this and other scientific string similarity methods to quickly match or validate strings approximately.
FuzzyString function library enables you to
- automatically fix user typos
- build a robust text search (e.g., for tech trees, unlocks or shop system)
- filter in-game chat
Technical Details
Features:
- Easy calculation of fuzzy string similarity in C++ or Blueprints
- Six scientifically established string distance methods: Levenshtein Edit Distance, Optimal Alignment, Token Set, Token Sort, Weighted Ratio and Longest Common Substring
- Plug and Play, with no setup
- Works in any Blueprints
- Comprehensive documentation
- All C++ code is fully documented and source-open
Code Modules:
- FuzzyStringLibrary (Runtime)
Number of Blueprints: 1
Number of C++ Classes: 2
Network Replicated: N/A
Supported Development Platforms: Windows, Mac
Supported Target Build Platforms: Windows, Mac
Documentation: https://maschere.github.io/asset-documentation/fuzzy-string/
Example Project: Demo widget and demo level included in plugin content folder.
Important/Additional Notes: This plugin is partially based on the excellent, MIT licensed rapidfuzz-cpp library.
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