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Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
In this article, we present a language-independent, unsupervised approach to sentence boundary detection. It is based on the assumption that a large number of ambiguities in the determination of sente...
In contrast, a state-of-the-art natural language generation (NLG) system would likely be able to produce only one of them, modulo variations introduced by, for example, passivization, topicalization,...
Language ID-based training of multilingual stacked bottleneck features     Multilingual  Bottleneck features  DNN       font style='font-size:12px;'> 2014/11/27
In this paper, we explore multilingual feature-level data sharing via Deep Neural Network (DNN) stacked bottleneck features. Given a set of available source languages, we apply language identification...

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