Frederick Gyasi

Corpus Hub contributor since 2026-10-23

Frederick Gyasi's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

25files

2,329lines

★ 4GitHub stars on repo

Totals across every corpus @gyasifred appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the TW-FR-MT corpus

gyasifred/TW-FR-MT: Twi-French Machine Translation

Reuse a worked example: the commit “Modernize translation training, Colab workflows, and Gradio serving” (25 files · Python).
Answer from TW-FR-MT's real Python source instead of memory (Writing and copy).

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?

Paste it into your AI agent. It clones the repo 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.

corpus gyasifred--tw-fr-mt · Writing and copy
Related corpora: rousseau, conventional-commits, textlint-rule-preset-jtf-style, textlint-ja-technical-writing
Case study: reference coding for agents

Selected work

GitHub ★ 4

gyasifred/TW-FR-MT

47292158eb Modernize translation training, Colab workflows, and Gradio serving

selected commit: 25 files · 2,329 lines · Python · twfr_mt, tests, the project root

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus gyasifred--tw-fr-mtWRITEMIT agreed 2026-10-23

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/gyasifred/badge.svg)](https://hub.xerj.org/contributors/gyasifred)

Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.