Transcription of text by incremental Support Vector Machine

This paper deals with an on-going work aimed at developing a Suport Vector Machine (SVM) based incremental learning algorithm in the domain of text-based phoneme transcription for Norwegian language. The motivation for this is to reduce the long computation time witnessed in the batch-learning scenario. A standard SVM algorithm is modified in such a way that it incorporates the new data as it becomes available in time. The transcription scheme used is SAMPA for Norwegian. We conclude the paper with a discussion on further research in this direction.