In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation model. While bi-lingual parallel data are expensive to genera...
Matthew G. Snover, Bonnie J. Dorr, Richard M. Schw...
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
We propose an HMM-based text-indicated writer verification method, which is based on a challenge and response type of authentication process. In this method, a different text incl...