Restoring Hebrew DiacriticsWithout a Dictionary

Abstract

We demonstrate that it is feasible to accurately diacritize Hebrew script without any human-curated resources other than plain diacritized text. We present NAKDIMON, a two-layer character-level LSTM, that performs on par with much more complicated curationdependent systems, across a diverse array of modern Hebrew sources. The model is accompanied by a training set and a test set, collected from diverse sources.