TW-FR-MT

Twi-French Machine Translation

A new way for AI to search for data

View on GitHub

4GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 47292158eb (2026-10-22).

Selected work

Frederick Gyasi
@gyasifred

“Modernize translation training, Colab workflows, and Gradio serving”. 25 files, 2,329 lines in twfr_mt, tests, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

Where does TW-FR-MT handle “Modernize translation training, Colab workflows, and Gradio serving”?
What does twfr_mt do in TW-FR-MT?

The prompt

Paste it into your AI agent. It clones gyasifred/TW-FR-MT at the pinned commit and indexes it on your machine.

Search the GitHub repository gyasifred/TW-FR-MT with XERJ (https://hub.xerj.org/corpus/gyasifred--tw-fr-mt).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/gyasifred/TW-FR-MT TW-FR-MT && git -C TW-FR-MT checkout 47292158ebef45a236e3a101ac2303ed21bae24d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./TW-FR-MT --url http://127.0.0.1:9200 --prefix tw-fr-mt --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Frederick Gyasi Writing and copy corpora

Selected work and consent: the XERJ registry.