Daniel Renshaw

Long short-term memory language models with additive morphological features for automatic speech recognition

Models of morphologically rich languages suffer from data sparsity when words are treated as atomic units. Word-based language models cannot transfer knowledge from common word forms to rarer variant forms. Learning a continuous vector representation of each morpheme allows a compositional model to…