This spell checker application utilizes a Trie data structure to efficiently check the spelling of words and provide suggestions for corrections. It's written in Python and offers a simple interface for spell checking.
The application uses a Trie, a tree-like data structure that stores a dynamic set of strings where the keys are usually strings. Each node in the Trie represents a single character of a string, and the strings themselves are stored in a sequence of nodes connected by edges.
- Efficient Searching: The Trie allows for fast search, insert, and delete operations on strings.
- Space Optimization: It uses less space compared to other data structures like hash tables, as common prefixes of strings are shared.
- Spell Checking and Suggestions: The Trie is ideal for spell checking as it can quickly retrieve all words that share a common prefix, which is useful for generating spelling suggestions.
- Spell Checking: Checks if a word is spelled correctly.
- Suggestions: Provides suggestions for misspelled words.
- Add and Remove Words: Ability to add and remove words from the spell checker's dictionary.
To run the application, you'll need Python installed on your machine. The application has been tested with Python 3.8.
- Clone the Repository: git clone https://github.com/EpiXCoder/PrefixTrieSpellChecker.git
- Navigate to the Application Directory: cd [Application Directory]
- Load the Dictionary:
- Place your dictionary file named
words
in the application directory. This file should contain a list of words, one per line.
- Run the Application: python3 app.py
- Use the text editor UI:
- run the html
- Start typing in the text editor
- If you mispell a word, the application will underline the word in red and provide suggestions for correct spelling.
- Caveat: You must correct the words as you type and not wait till the end to do the correction
Contributions to this project are welcome! Please fork the repository and submit a pull request with your proposed changes.
- [Any acknowledgments to resources, inspirations, or individuals]