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Operation of the Collaborative Composite Manufacturing (CCM) System
10:09

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A high speed string correction method using a hierarchical file.

E Tanaka1, Y Kojima

  • 1Department of Information Science, Faculty of Engineering, Utsunomiya University, Utsunomiay 321, Japan.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a fast string correction technique using hierarchical files. This method significantly reduces computational effort, especially for large datasets, improving correction efficiency.

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Area of Science:

  • Computer Science
  • Computational Linguistics
  • Information Retrieval

Background:

  • String correction is crucial for data accuracy.
  • Existing methods like Levenshtein distance can be computationally intensive.
  • Hierarchical data structures offer potential for optimization.

Purpose of the Study:

  • To develop a high-speed string correction method.
  • To leverage hierarchical files for improved efficiency.
  • To analyze the performance of multistage correction techniques.

Main Methods:

  • Review of Levenshtein distance-based string correction.
  • Introduction of a novel hierarchical file construction method.
  • Proposal and analysis of a multistage string correction algorithm.

Main Results:

  • The proposed multistage method significantly reduces computational labor.
  • Efficiency increases with a larger number of strings processed.
  • Computer simulations demonstrated effectiveness on 5374 phoneme sequences.

Conclusions:

  • Multistage string correction using hierarchical files is highly efficient.
  • The method offers a viable alternative to ordinary dictionary methods for high correction rates.
  • Computational complexity is demonstrably reduced, especially for large-scale applications.