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| title: README |
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| # NaathNLP |
| Open NLP infrastructure for **Thok Naath** (the Nuer language) — built by volunteers working toward language preservation and revitalization. |
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| Nuer is spoken by millions of people across South Sudan, Ethiopia, and diaspora communities, but remains a low-resource language with almost no native NLP tooling. NaathNLP exists to change that — building translation models, parallel corpora, and language tools with quality reviewed by native speakers at every step. |
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| **Website:** [dayom.org](https://www.dayom.org/) |
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| ## What we're building |
| - **Translation** — a fine-tuned NLLB model for English–Nuer translation |
| - **Corpus** — a large-scale English–Nuer parallel corpus (1M+ pairs) |
| - **Chatbot** — a pivot-pipeline conversational prototype |
| - **ASR** — automatic speech recognition for spoken Nuer |
| - **TTS** — text-to-speech for Nuer, to support learners and low-literacy speakers |
| - **Reasoning** — working toward a native Nuer reasoning model that thinks in Nuer directly, rather than pivoting through English |
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| ## Why this matters |
| Most language models have never seen meaningful amounts of Nuer text or speech. Without deliberate investment, low-resource languages like Naath risk falling further behind as AI tools become part of everyday life — for education, communication, and access to information. NaathNLP is a volunteer effort to make sure Nuer speakers aren't left out of that shift, and to help preserve the language for future generations. |
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| ## Developers |
| - [github.com/bielng](https://github.com/bielng) — Taban |
| - [github.com/21Bhang](https://github.com/21Bhang) — Bhang |
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| ## Get involved |
| This is volunteer-driven work, and contributions are welcome — whether that's data, native-speaker review, compute, or code. Reach out if you'd like to help. |
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| ngunartaban@gmail.com (Taban) |
