Machine learning and statistics with python

 Introduction: I have talked enough about spacy in english. But enough about english; what about, say german? One of my fellow linguists who is not a german native speaker, wanted to analyze the german texts to find nouns and predicates. In this post, I will try to introduce you to german models, how to download, use and we'll finish what my fellow linguist started. gut, lass uns anfangen Download and load a german model: One of the good thing about spacy is that on change of language, there is no significant structure change. For german, there are 3 models available in the spacy pretrained models. These models are 'de_core_news_sm','de_core_news_md' and 'de_core_news_lg'. The sm, md and lg refer to small, medium and large respectively. For tasks where similarity are not needed and light models are more needed, one can go with the de_core_news_sm model. For higher precision and correct similarity related operations, de_core_news_lg is the preferred mode...