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Papers in Computational Linguistics

Computational Linguistics papers in Linguistics, A

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Papers 1 - 20 of 1,513 in Computational Linguistics, A
  1. Evolutionary biologists often wish to explore the impact of a particular historical event (e.g., the origin of a novel morphological trait, an episode of biogeographic dispersal, or the onset of an ecological association) on rates of diversification…
  2. Bayesian learningmethods have recently been shown to provide an elegant solution to the explorationexploitation trade-off in reinforcement learning. However most investigations of Bayesian reinforcement learning to date focus on the standard Markov…
  3. We present an efficient, principled, and interpretable technique for inferring module assignments and for identifying the optimal number of modules in a given network. We show how several existing methods for finding modules can be described as…
  4. A standard form of analysis for linguistic typology is the universal implication. These implications state facts about the range of extant languages, such as ``if objects come after verbs, then adjectives come after nouns.'' Such implications are…
  5. A non-parametric Bayesian model is proposed for processing multiple images. The analysis employs image features and, when present, the words associated with accompanying annotations. The model clusters the images into classes, and each image is…
  6. Tree based translation models are a compelling means of integrating linguistic in- formation into machine translation. Syntax can inform lexical selection and reordering choices and thereby improve translation quality. Research to date has focussed…
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