https://github.com/protoelicker/lexm
A specification for representing dictionary-ready, lexical entries and their relationships
https://github.com/protoelicker/lexm
arithmetic c dfa direito javascript legismatica lemmatization lexical-analysis-engines markup-language regular-expression terminology urn urn-lex vocabularies
Last synced: 7 months ago
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A specification for representing dictionary-ready, lexical entries and their relationships
- Host: GitHub
- URL: https://github.com/protoelicker/lexm
- Owner: protoelicker
- License: mit
- Created: 2025-03-25T20:54:57.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-25T22:14:09.000Z (7 months ago)
- Last Synced: 2025-03-25T22:27:03.060Z (7 months ago)
- Topics: arithmetic, c, dfa, direito, javascript, legismatica, lemmatization, lexical-analysis-engines, markup-language, regular-expression, terminology, urn, urn-lex, vocabularies
- Language: Ruby
- Size: 117 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# LexM: A Specification for Lexical Entries and Their Relationships
Welcome to the **LexM** repository! Here you will find a detailed specification for representing dictionary-ready, lexical entries and their relationships. If you are interested in the fields of dictionary construction, language analysis, lexicography, or natural language processing, then this repository is for you.
## Overview 📚
**LexM** stands for Lexical Markup, and it provides guidelines for structuring and organizing lexical data in a standardized way. By following the **LexM** specification, researchers, developers, and linguists can ensure consistency and interoperability in lexical databases and lexicon construction projects.
## Features 🌟
- Define lexical entries with detailed information such as part of speech, definitions, examples, and etymology.
- Establish relationships between lexical entries such as synonyms, antonyms, and hypernyms.
- Utilize a markup language specifically designed for lexical data representation.
- Support lemmatization processes for natural language processing tasks.
- Enhance linguistic analysis and research through structured lexicon construction.## Repository Details 📝
- **Repository Name**: LexM
- **Description**: A specification for representing dictionary-ready, lexical entries and their relationships
- **Topics**: dictionary, language, lemmatization, lexical-database, lexicography, lexicon-construction, linguistics, markup-language, natural-language-processing, NLP## Get Started 🚀
To access the latest release of the LexM specification, please visit the [Releases](https://github.com/protoelicker/lexm/releases) section of this repository. There you will find the necessary files to download and execute for implementing the LexM guidelines in your projects.
[](https://github.com/protoelicker/lexm/releases)
## How to Contribute 🤝
If you are passionate about linguistics, lexicon development, or natural language processing, we welcome contributions to the **LexM** specification. Feel free to submit pull requests, share your insights, or open issues to enhance the clarity and effectiveness of the LexM guidelines.
## Stay Connected 🌐
To stay updated with the latest developments in lexical data representation and lexicon construction, be sure to follow this repository. Your interest and involvement in the **LexM** project are greatly appreciated.
Thank you for visiting the **LexM** repository. Let's continue to elevate the standards of lexical data organization and analysis together. Happy coding and lexicon building! 📖🔍
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Now you have all the essential information to navigate the LexM repository and understand its purpose. Whether you are a language enthusiast, a developer working on NLP projects, or a linguist exploring lexical databases, the **LexM** specification offers valuable insights and guidelines for structuring lexical entries effectively. Explore the releases, delve into the documentation, and contribute to the advancement of lexicon construction practices. Together, we can enhance linguistic research and natural language processing through standardized and well-organized lexical data representation. 🌐🔤Remember, clarity and conciseness are key when defining lexical entries and their relationships. Let's continue to refine and improve how we represent language data for enhanced comprehension and analysis. 📊📚
So, dive into the world of lexicon construction with LexM and discover the possibilities it holds for advancing linguistic analysis and natural language processing. Happy exploring! 🚀🔎