Automatic Compound Word Reconstruction for Speech Recognition of Compounding Languages
Tanel Alumäe · DSpace repository (University of Tartu) · 2007
This paper compares two approaches to lexical compound word reconstruction from a speech recognizer output where compound words are decomposed.The first method has been proposed earlier and uses a dedicated language model that models compound tails in the context of the preceding words and compound heads only in the context of the tail.A novel approach models imaginable compound particle connectors as hidden events and predicts such events using a simple N -gram language model.Experiments on two Estonian speech recognition tasks show that the second approach performs consistently better and achieves high accuracy.