The ngram-go repository is a Go language project focused on implementing natural langauge processing algorithms and models. It currently features two primary files: ngram.go and lcsmatching.go, each offering unique functionalities in the realm of string matching and analysis.
This file contains the implementation of N-gram generation and comparison algorithms. N-grams are a contiguous sequence of n items from a given sample of text or speech. The implementation in this file can be used for various applications such as text analysis, natural language processing, and pattern recognition.
- N-gram Generation: Functionality to generate n-grams from a given string.
- N-gram Comparison: Tools for comparing sets of n-grams, useful in similarity assessments and other analyses.
The lcsmatching.go file implements algorithms related to the Longest Common Subsequence (LCS). LCS is a classic algorithm used in text comparison, such as diff tools in version control systems.
- LCS Algorithm: Implementation of the LCS algorithm, providing a way to find the longest subsequence common to all sequences in a set of sequences.
- String Matching: Useful for applications like text diff, plagiarism detection, and others where string matching is critical.
- Go (version 1.23 or later)
- Clone the repository:
git clone https://github.com/[username]/ngram-go.git
- Navigate to the repository:
cd ngram-go
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ngram.go:
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Import the package in your Go project.
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Use the provided functions to generate and compare n-grams.
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lcsmatching.go:
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Import into your project.
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Utilize the LCS functionality as required in your application.
Contributions to ngram-go are welcome! Please read our contribution guidelines to get started.
This project is licensed under the MIT License - see the LICENSE file for details.