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Studying natural language, and especially how people describe the world around them can help us better understand the visual… Expand Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are… Expand Data sparsity is a large problem in natural language processing that refers to the fact that language is a system of rare events… Expand In many applications, it is necessary to algorithmically quantify the similarity exhibited by two strings composed of symbols… Expand If two translation systems differ differ in performance on a test set, can we trust that this indicates a difference in true… Expand We study approximate string matching in connection with two string distance functions that are computable in linear time. The… Expand Abstract : The Stanford AI Lab cart is a card-table sized mobile robot controlled remotely through a radio link, and equipped… Expand Conventional programming languages are growing ever more enormous, but not stronger. Inherent defects at the most basic level… Expand Using Akaike's information criterion, three examples of statistical data are reanalyzed and show reasonably definite conclusions… Expand The use of the fast Fourier transform in power spectrum analysis is described. Principal advantages of this method are a… Expand