Correct minor typos.

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Ana-Cosmina Popescu 2020-02-12 16:39:16 +02:00 committed by GitHub
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@ -12,11 +12,11 @@
<img src="/docs/static/screenshots/BotSharp_arch.png" width="100%">
It's witten in C# running on .Net Core that is full cross-platform framework. C# is a enterprise grade programming language which is widely used to code business logic in information management related system. More friendly to corporate developers. BotSharp adopts machine learning algrithm in C# directly. That will facilitate the feature of the typed language C#, and be more easier when refactoring code in system scope.
It's written in C# running on .Net Core that is full cross-platform framework. C# is a enterprise grade programming language which is widely used to code business logic in information management related system. More friendly to corporate developers. BotSharp adopts machine learning algrithm in C# directly. That will facilitate the feature of the typed language C#, and be more easier when refactoring code in system scope.
Why we do this? because we all know python is not friendly programming language for enterprise developers, it's not only because it's low performance but also it's a type weak language, it will be a disaster if you use python to build your bussiness system.
Why we do this? Because we all know Python is not friendly programming language for enterprise developers, it's not only because it's low performance but also it's a type weak language, it will be a disaster if you use Python to build your bussiness system.
BotSharp is in accordance with components princple strictly, decouples every part that needed in the platform builder. So you can choose different UI/UX, or pick up a different NLP Tagger, or select a more advanced algrithm to do NER task. They are all modulized based an unfied interfaces.
BotSharp is in accordance with components principle strictly, decouples every part that is needed in the platform builder. So you can choose different UI/UX, or pick up a different NLP Tagger, or select a more advanced algorithm to do NER task. They are all modulized based on unified interfaces.
### Some Features