In our first classification task, documents are split into sentences and vectorised by storing each sentence in a bag-of-words representation. To create a baseline for measuring the advantage using deep learning for direct speech recognition, we compared the performance of traditional machine learning algorithms on our labelled datasets. Training and testing some of the most common machine learning classifiers to detect sentences containing at least one word of direct speech leads to an accuracy of <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">0.85 </hi>using Logistic Regression; for more results see Table 1.