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Original Article

TurboText: A Boundary-Aware Fuzzy Keyword Extraction and Replacement Library with Configurable Conflict Resolution

Nishank Mahore1
1 Independent Researcher, India.

Published Online: May-August 2026

Pages: 911-919

References

1. V. Singh, “Replace or Retrieve Keywords In Documents at Scale,” arXiv: 1711.00046 [cs.DS], Oct. 2017.
2. S. Elmo, flashtext2: Flashtext implementation in Rust (PyO3), GitHub repository, https://github.com/shner-elmo/flashtext2 (accessed Jul.
2026).
3. W. Muła, pyahocorasick: Python module (C extension and plain Python) implementing the Aho-Corasick algorithm, GitHub repository,
https://github.com/WojciechMula/pyahocorasick (accessed Jul. 2026).
4. A. Gallant and G-Research, ahocorasick_rs: a Python wrapper around the Rust aho-corasick crate, GitHub repository, https://github.com/G-
Research/ahocorasick_rs (accessed Jul. 2026).
5. M. Bachmann, RapidFuzz: rapid fuzzy string matching in Python using various string metrics, GitHub repository,
https://github.com/rapidfuzz/RapidFuzz (accessed Jul. 2026).
6. Python-Levenshtein: fast computation of Levenshtein distance and string similarity, GitHub repository, https://github.com/ztane/python-
Levenshtein (accessed Jul. 2026).
7. J. Turk et al., jellyfish: approximate and phonetic matching of strings, GitHub repository, https://github.com/jamesturk/jell yfish (accessed
Jul. 2026).
8. SeatGeek, FuzzyWuzzy: fuzzy string matching in Python, GitHub repository, https://github.com/seatgeek/fuzzywuzzy (accessed Jul. 2026).
9. N. Mahore, TurboText: a boundary-aware fuzzy keyword extraction and replacement library, GitHub repository,
https://github.com/nishankmahore/TurboText (accessed Jul. 2026).

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