The database of English words in Croatian.xlsx

To build a dataset to train and test the model, 60,000 words were manually labelled according to language membership by three independent evaluators. N-gram feature representation was used in combination with a linear Support Vector Machine classification algorithm (SVM) (Smola & Schölkopf, 2004) to extract English words from the ENGRI corpus (Bogunović & Kučić, 2021; Kučić, 2021). An F1 score of 0.9669 was achieved on the test set. The database contains 9,453 English words as well as their absolute and relative frequencies.