logion-app

Machine learning for Greek philology

https://github.com/princeton-logion/logion-app

Science Score: 52.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Academic email domains
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Institutional organization owner
Organization princeton-logion has institutional domain (www.logionproject.princeton.edu)
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Machine learning for Greek philology

Basic Info

Host: GitHub
Owner: princeton-logion
License: mit
Language: Python
Default Branch: main
Homepage: https://princeton-logion.github.io/logion-app/
Size: 1.2 MB

Statistics

Stars: 2
Watchers: 0
Forks: 0
Open Issues: 0
Releases: 0

Created about 1 year ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

Logion

An open source, no-code language modeling tool for premodern Greek philology.

Description

Logion provides provides a no-code user interface through which researchers may obtain suggestions for common classical philological research tasks, such as text restoration and scribal error detection. In this way, Logion empowers classical philologists to leverage advances in AI to assist their research. Logion runs on personal computers without access to high performance computing (HPC) resources. We hope to make an HPC version available in the coming months.

Installation

Logion runs on both Windows and MacOS.

At the moment, only select researchers may download the app during its test phase.

We hope to make the app available for public download from the Logion website in the coming months. Users may read the app User Guide.

Requirements

Logion requires no outside software dependencies.

For more information on Logion's compatibility with your personal computer's hardware, see Logion's hardware guide.

What Next?

If you're working on a new critical edition of a Greek text and want to use Logion, please contact the Logion team at logion@princeton.edu.

If you want to learn more about Logion, please visit the official project website.

Citation

The software is free to use under the MIT License. If you use Logion in your work, please use the citation in "Cite this repository" on the right-hand sidebar of this repo.

Owner

Name: princeton-logion
Login: princeton-logion
Kind: organization

Website: https://www.logionproject.princeton.edu/
Repositories: 1
Profile: https://github.com/princeton-logion

Machine Learning for Greek Philology

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Logion
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jacob
    family-names: Murel
    email: jm9095@princeton.edu
    affiliation: Princeton University
repository-code: 'https://github.com/princeton-logion/logion-app'
url: 'https://www.logionproject.princeton.edu/'
repository: 'https://huggingface.co/princeton-logion'
abstract: >-
  Logion provides provides a no-code user interface through
  which researchers may obtain suggestions for common
  classical philological research tasks, such as text
  restoration and scribal error detection. In this way,
  Logion empowers classical philologists to leverage
  advances in AI to assist their research. Logion runs on
  personal computers without access to high performance
  computing (HPC) resources.
keywords:
  - language model
  - digital humanities
  - philology
  - classics
license: MIT
version: 1.0.1-beta.0
date-released: '2025-04-07'

GitHub Events

Total

Watch event: 3
Delete event: 3
Push event: 242
Pull request event: 19
Create event: 8

Last Year

Watch event: 3
Delete event: 3
Push event: 242
Pull request event: 19
Create event: 8

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 0
Total pull requests: 7
Average time to close issues: N/A
Average time to close pull requests: 1 minute
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 6
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 7
Average time to close issues: N/A
Average time to close pull requests: 1 minute
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 6
Bot issues: 0
Bot pull requests: 0

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