Word alignment play an important role in the training of statistical machine translation systems. We present a technique to refine word alignments at phrase level after the collection of sentences from the Kazakh-English parallel corpora. The estimation technique extracts the phrase pairs from the word alignment and then incorporates them into the translation system for further steps. Although ...

The Rapid Serial Visual Presentation procedure is a method widely used in visual perception research. In this paper we propose an adaptation of this method which can be used with auditory material and enables assessment of statistical learning in speech segmentation. Adult participants were exposed to an artificial speech stream composed of statistically defined trisyllabic nonsense words. They...

Statistical analysis system (SAS) is the most comprehensive statistical analysis software package in the world. It offers data analysis for almost all experiments under various statistical models. Each analysis is performed using a particular subroutine, called a procedure (PROC). For example, PROC ANOVA performs analysis of variances. PROC QTL is a user-defined SAS procedure for mapping quanti...

Normal approximation confidence intervals are used in most commercial statistical package because they are easy to compute. However, the performance of such procedures could be poor when the sample size is not large or when there is heavy censoring. A transformation can be applied to avoid having confidence interval endpoints fall outside the parameter space and otherwise improves performance, ...

A procedure is proposed for tagging part of speech using a hybrid system that consists of a statistical based rule finder and a genetic algorithm which decides how to use those rules. This procedure will try to improve upon an already very good method of part of speech tagging.

1. Bayesian Statistical Method The Bayesian Motif Clustering (BMC) algorithm proposed in the main article is based on an explicit statistical model that describes the relationship between the observed motifs and the putative regulons (clusters) and a Markov chain Monte Carlo computational method. We describe first the general Bayesian inference procedure and then its detailed implementation for...

INTRODUCTION METHODOLOGY Subjects Apparatus Performance Schedule Procedure Photographic Documentation Statistical Approach RESULTS DISCUSSION CONCLUSION REFERENCES APPENDIX I -Avoidance Performance Schedule for Rapid Decompression Studies APPENDIX II Veterinary Necropsy Protocol APPENDIX III Detailed Statistical Comparisons of Behavioral Data SECTION II PHYSIOLOGY AND NEUROPHYSIOLOGY 2 3 4 4 4 ...