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Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set… Expand There has been a proliferation of recent work on SMT tuning algorithms capable of handling larger feature sets than the… Expand This paper describes Meteor 1.3, our submission to the 2011 EMNLP Workshop on Statistical Machine Translation automatic… Expand We offer a simple, effective, and scalable method for statistical machine translation parameter tuning based on the pairwise… Expand In recent years, many research works have been carried out to recognize human actions from video clips. To learn an effective… Expand Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is… Expand Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an… Expand In the laboratory, ammonium and nitrate uptakes were measured for juvenile Laminaria saccharina (L.) Lamour. and Nereocystis… Expand MERT is a multi-environment real-time operating system for the Digital Equipment PDP-11/45 and 11/70 computers. It is a… Expand Abstract : This study was designed to supplement existing knowledge of the weight, volume, and center of mass of segments of the… Expand