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CLTK
The Classical Language Toolkit is a Python library for natural language processing of pre modern languages.
About CLTK
The Classical Language Toolkit (CLTK) is a Python library for natural language processing of pre-modern languages. It installs with pip install cltk, with optional extras for OpenAI-backed annotation, Stanford Stanza backends, and local LLMs via Ollama.
Cloud use requires API keys set in the environment, and local LLM use requires a running Ollama server. Documentation is at https://docs.cltk.org, and the pre-1.0 software remains available on branch v0.1.x.
Key features
- Natural language processing for pre-modern languages in Python
- OpenAI-backed annotation with selectable cloud models
- Local LLM processing through Ollama with configurable model strings
- Hosted Ollama Cloud backend via API key
- Stanza-powered discriminative NLP backends as optional extra
- Modular installation with combinable pip extras
Best for: Researchers and Python developers processing pre-modern language texts.
Good for
- Open-source Python library
- Offers cloud, local, and Stanza NLP backends
- Optional extras can be combined in one install
Watch out for
- OpenAI backend requires OPENAI_API_KEY in the environment
- Local Ollama backend requires a running Ollama server
- Ollama Cloud backend requires OLLAMA_CLOUD_API_KEY
CLTK at a glance
- Website
- github.com/cltk/cltk
- Category
- Education & Learning › History & Humanities
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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CLTK FAQ
How do I install CLTK with optional backends?
Use pip install cltk for the base library, and add extras such as pip install "cltk[openai,stanza,ollama]" for specific backends.
What is needed to use the OpenAI backend?
Set OPENAI_API_KEY in the environment. The default model is gpt-5-mini when backend='openai', and another model such as gpt-5 can be specified.
What is needed to use local LLMs?
Install with pip install "cltk[ollama]" and ensure an Ollama server is running locally. The default model is llama3.1:8b when backend='ollama', and other Ollama model strings can be passed.
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