From 3637e1051a8a7e0dec88dfeb3eb01b2a8c4db249 Mon Sep 17 00:00:00 2001 From: Ana-Cosmina Popescu Date: Wed, 12 Feb 2020 16:39:16 +0200 Subject: [PATCH] Correct minor typos. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 231ac300..979eb171 100644 --- a/README.md +++ b/README.md @@ -12,11 +12,11 @@ -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