In our daily lives, we use natural language understanding (NLU) methods in personal assistants, chatbots, mails, news, search engines and more. Therefore, the importance of NLU has been increasing recently. Especially with the developments in language models, the models are becoming more successful with each passing day. However, most of the studies are conducted in the English language. It is thought that there are more than 7000 languages in the world. In this talk, I will inform about how to augment data in different languages and how to use different machine learning algorithms, and comparing them to each other.