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Papers in Computational Linguistics

Computational Linguistics papers in Linguistics, A

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Papers 1 - 20 of 1,437 in Computational Linguistics, A
  1. Managing tutorial dialogue is an intrinsically complex task that is only partially covered by current models of dialogue processing. After an analysis of such models identifying their strengths and weaknesses, we propose a flexible, modular, and…
  2. 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…
  3. We propose a novel approach to learn and recognize nat- ural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We repre- sent the image of a scene by a collection of local regions, denoted as…
  4. This paper describes a system for unsupervised learning of morphological affixes from texts or word lists. The system is composed of a generative probability model and a search algorithm. Experiments on the Wall Street Journal and the Hansard Corpus…
  5. Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension process with Bayesian decision trees. In this paper we extend the Narayanan…
  6. Translation systems that automatically extract transfer mappings (rules or examples) from bilingual corpora have been hampered by the difficulty of achieving accurate alignment and acquiring high quality mappings. We describe an algorithm that uses…
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