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Highly frequent in language and communication, metaphor represents a significant challenge for Natural Language Processing (NLP) applications. Computational work on metaphor has traditionally evolve...
Unsupervised Learning of Morphology     word  language       2015/9/9
This article surveys work on Unsupervised Learning of Morphology. We dene Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme se...
This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size ...
The applicability of many current information extraction techniques is severely limited by the need for supervised training data. We demonstrate that for certain field structured extraction tasks, suc...
Learning to recognize the contrasts of a language-specific phonemic repertoire can be viewed as forming categories in a multidimensional psychophysical space. Research on the learning of distributiona...

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