Using machine learning for placing comma in Slovene

We aim to learn comma placing using machine learning. Our approach is¸based on adding new attributes created from grammatical rules for the Slovenian language, which provides more information and thus enable better learning, i.e., higher precision and recall. We focus on placing all the commas in the text. We modify an existing research with additional learning methods, different parameters, undersampling and knowledge based attributes. We use corpus Šolar and improved corpus Šolar for testing and machine learning toolkit WEKA. Best results were achieved with random forests, alternating decision tree and decision table models