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A collaborative research platform for aligning, enriching and exploring resources on natural language texts

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Tekst

Tekst logo

...as in Text Exploration and Knowledge Structuring Tool

Server tests status Server tests coverage Client build status

🏗 Tekst is still in its initial development phase. As of now there's no complete (let alone production-ready) version available. As soon as we're ready for it, the new VedaWeb platform will become the first public instance of Tekst. Until then, you are welcome to follow the development of Tekst in this very repository.

Tekst is a collaborative, web-based research platform for aligning, displaying, linking, exploring, and enriching resources on natural language texts (and more). It is developed within the scope of the VedaWeb 2.0 research project on Old Indic texts, where it constitutes the technical basis of the research platform "VedaWeb", which will be launched in its new form as part of the project's efforts.

Manual

You are looking for information on concepts, use cases, features, setup, deployment or administration of the Tekst platform?

Publications

We presented our vision for a collaborative text research platform at the DH2023 conference (Digital Humanities 2023. Collaboration as Opportunity, Graz, Austria, 10-14 July 2023). You can find our conference paper here!

Contributing

Please see the contributing guidelines.

Development

Projects and technologies

This is a monorepo containing the codebases of the following parts of the Tekst platform:

Directory Technologies
Tekst-API/ (server) Python, Pydantic, FastAPI, FastAPI-Users, Beanie, MongoDB, Elasticsearch, ...
Tekst-Web/ (client) TypeScript, Vue.js 3, Pinia, Naive UI, Vue I18n, OpenAPI-TypeScript & OpenAPI-Fetch, ...
Tekst-Util/ (API maintenance utility) Bash, Bashly
docs/ (Documentation and user manual, to be found here) MkDocs, Material for MkDocs, PyMdown Extensions

Where applicable, the different project directories contain their own respective README.md files covering the development tooling and overall project setup.

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A collaborative research platform for aligning, enriching and exploring resources on natural language texts

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