A hybrid method for clause splitting in unrestricted English texts

It is important to know the structure of the sentence for many NLP tasks. In this paper we propose a hybrid method for clause splitting in unrestricted English texts which requires less human work than existing approaches. The results of a machine learning algorithm, trained on an annotated corpus, are processed by a shallow rule-based module in order to improve the accuracy of the method. The evaluation of the results showed that the machine learning algorithm is useful for identification of clause’s boundaries and the rule-based module improves the results. Using some very simple rules we can report precision of around