This paper describes an alternative translation model based on a text chunk under the framework of statistical machine translation. The translation model suggested here first per...
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
We introduce a method for predicting the network traffic that will be generated by Collaborative Virtual Environment applications with varying numbers of participants. Statistical...
Chris Greenhalgh, Steve Benford, Adrian Bullock, N...
We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...