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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
| Date | Stars |
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| 2026-07-24 | 1790 |
| 2026-07-25 | 1790 |
| 2026-07-28 | 1790 |
| 2026-07-30 | 1790 |
| 2026-08-06 | 1790 |
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# Microsoft Recognizers Text Overview
Microsoft.Recognizers.Text provides robust recognition and resolution of entities like numbers, units, and date/time; expressed in multiple languages. Full support for Chinese, English, French, Spanish, Portuguese, German, Italian, Turkish, Hindi, and Dutch. Partial support for Japanese, Korean, Arabic, and Swedish. More on the way.
# Utilizing the Project
Microsoft.Recognizers.Text powers pre-built entities in [**LUIS: Language Understanding Intelligent Service**](https://www.luis.ai/home), [**Power Virtual Agents**](https://powervirtualagents.microsoft.com/en-us/), and [**Microsoft Bot Framework**](https://dev.botframework.com/); base entity types in [**Text Analytics Cognitive Service**](https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-entity-linking); and it is also available as standalone packages (for the base classes and the different entity recognizers).
The Microsoft.Recognizers.Text packages currently target four platforms:
* [C#/.NET](https://github.com/Microsoft/Recognizers-Text/tree/master/.NET) - **NuGet packages** available at: https://www.nuget.org/profiles/Recognizers.Text
* [JavaScript/TypeScript](https://github.com/Microsoft/Recognizers-Text/tree/master/JavaScript/packages/recognizers-text-suite) - **NPM packages** available at: https://www.npmjs.com/~recognizers.text
* [Python](https://github.com/Microsoft/Recognizers-Text/tree/master/Python) - **PyPI packages** available at: https://pypi.org/user/recognizers-text/ (alpha)
* [Java](https://github.com/Microsoft/Recognizers-Text/tree/master/Java) (in progress)
Contributions are greatly welcome! Both for fixes and extensions in the currently supported languages and for expansion to new ones.
Especially for Japanese, Korean, Arabic, Swedish, and others! More info below.
.NET is the primary package version and contributions propagate to the other platforms with time.
## Citing the Recognizers-Text project
If you utilize the recognizers in academic works, please cite it as below (you can omit the version number or update it to a specific version if relevant):
```tex
@software{soft:recognizers-text,
author = {Wenhao Huang and Zijia Lin and Chris McConnell and B{\"{o}}rje F. Karlsson},
title = {{Recognizers-Text}: {R}ecognition and resolution of numbers, units, and date/time entities expressed across multiple languages},
month = jul,
year = 2017,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.6860598},
url = {https://doi.org/10.5281/zenodo.6860598}
}
```
Feel free to change "@software" to "@misc" if it better fits your templates.
# Help
If you have any questions, please go ahead and [open an issue](https://github.com/Microsoft/Recognizers-Text/issues/new/choose), even if it's not an actual bug. Issues are an acceptable discussion forum as well.
# Contributing
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [[email protected]](mailto:[email protected]) with any additional questions or comments.
Good starting points for contribution are:
* the list of [open issues](https://github.com/Microsoft/Recognizers-Text/issues) (especially those marked as ```help wanted```);
* the json spec cases temporarily marked as ```NotSupported``` ([Specs](./Specs)); and
* translating json test spec cases that work in English, but don't yet exist in a target language.
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a79e15d0a55e3404, topic:nlp