zomi-nlp 0.3.0

Natural Language Processing for Zomi Language (Zopau)

Zomi NLP

Natural Language Processing toolkit for the Zomi language (Zopau).

Features

• 🔤 Tokenization - Smart tokenization with Zomi clitic handling
• 🏷️ POS Tagging - Part-of-speech tagging
• 🌲 Dependency Parsing - Grammatical structure analysis
• 📍 Named Entity Recognition - Entity extraction
• 🔌 Pluggable Backends - Use spaCy, Stanza, or native implementations
• 🚀 Production Ready - CI/CD, type hints, comprehensive testing

Requirements

• Python 3.9 or higher
• pip (latest version recommended)

Dependencies

Zomi NLP works with either spaCy or Stanza as backends. If both are installed, it will prefer Stanza (more accurate) but fall back to spaCy (faster) if needed.

Installation Options

Minimal Installation (Basic Tokenization Only)

pip install zomi-nlp

With spaCy (Recommended for Speed)

pip install 'zomi-nlp[spacy]'
python -m spacy download en_core_web_sm

With Stanza (Recommended for Accuracy)

pip install 'zomi-nlp[stanza]'

Full installation (Both Backends)

pip install 'zomi-nlp[full]'

Quick Start

from zomi_nlp import load

# Load the pipeline (auto-selects best available backend)
nlp = load()

# Process text
text = "An ka ne hi."
doc = nlp(text)

# Access tokens
for token in doc:
    print(f"{token.text}\t{token.pos_}\t{token.lemma_}")

# Output:
# An      NOUN    an
# ka      PRON    ka
# ne      VERB    ne
# hi      PART    hi
# .       PUNCT   .

Configuration

from zomi_nlp import ZomiConfig, ZomiPipeline

# Use spaCy for speed
config = ZomiConfig(tokenizer_backend="spacy", tagger_backend="spacy")
nlp = ZomiPipeline(config)

# Use Stanza for accuracy
config = ZomiConfig(tokenizer_backend="stanza", tagger_backend="stanza")
nlp = ZomiPipeline(config)

# Auto-select best available (recommended)
config = ZomiConfig(tokenizer_backend="auto")
nlp = ZomiPipeline(config)

Checking Installation

from zomi_nlp import check_installation

# Check what's installed
check_installation()

# Get status as dict
status = check_installation(verbose=False)
print(status)

Troubleshooting

Check your installation

zomi-nlp --check

Diagnose issues automatically

zomi-nlp --doctor

"stanza not installed" Warning

If you see warnings about stanza, you have two options:

1. Install stanza (better accuracy):

pip install stanza

2. Use spaCy instead (change your config):

config = ZomiConfig(tokenizer_backend="spacy")

"No backend available" Error

Install at least one backend:

pip install 'zomi-nlp[full]'

Getting None Values for POS Tags

This happens when no backend is available. The library falls back to a simple tokenizer. Install spaCy or stanza for full functionality.

Development

# Clone repository
git clone https://github.com/ZomiCommunity/zomi-nlp.git
cd zomi-nlp

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/

# Run linting
ruff check zomi_nlp/

# Format code
black zomi_nlp/ tests/

Roadmap

• v0.1.0 - Core architecture + spaCy/Stanza adapters
• v0.2.0 - Zomi-native tokenizer
• v0.3.0 - Zomi POS tagger
• v0.4.0 - Zomi dependency parser
• v1.0.0 - Fully native implementation

Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

License

Apache License 2.0

Citation

@software{zomi_nlp_2026,
  title={Zomi NLP: Natural Language Processing for Zomi Language},
  author={Zomi NLP Community},
  year={2026},
  url={https://github.com/ZomiCommunity/zomi-nlp}
}

Acknowledgments

• Built with ❤️ for the Zomi community
• Uses spaCy and Stanza as backends
• Inspired by universal dependencies framework