Rooted in Language.
Built for Impact.

A research and development initiative focused on NLP and low-resource technologies for the languages of Meghalaya, including Khasi, Pnar, Garo and their dialetical variations.

NLP Low-Resource Community Research
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Our Mission

Bridging the gap between academic research and practical deployment for indigenous languages.

Research Advance NLP research specifically for low-resource and indigenous languages.
Data Create gated datasets and reproducible models to standardize benchmarks.
Deployment Bridge academic findings with real-world practical deployment.
Ethics Encourage ethical, transparent, and community-led AI development.

Areas of Focus

Targeted initiatives to digitize and empower Meghalayan languages.

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Machine Translation

Developing Neural Machine Translation (NMT) systems specifically for Khasi, Garo, and related dialects.

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Documentation

Language documentation, corpus creation, and building robust annotation pipelines.

Conversation AI Icon

Conversation AI

Chat Bots and dialogue System.

What You’ll Find

We build, curate, and release assets on Hugging Face.

Datasets

High-quality data for training and evaluation.

  • Parallel Corpora
  • Annotated Text
  • Speech Resources
  • QA Datasets

Models

State-of-the-art architectures adapted for our needs.

  • Fine-tuned Transformers
  • Experimental NLP Models
  • Reproducible Checkpoints

Spaces

Interactive ways to test our technology.

  • Live Demos
  • Evaluation Tools
  • Interactive Experiments

Governance

Tynrai currently operates as a community organization. Roles and access are managed by the org admins. As the project evolves, governance structures may be formalized to ensure long-term sustainability.

License

Unless otherwise specified, our content is released under permissive open-source licenses (Apache-2.0). We believe in open science while respecting data sovereignty.