Neural Network Language Model

method ID: neuralnetworklanguagemodel

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Authors: nan

Publication: TIPSTER (2005)

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During the last years there has been grow- ing interest in using neural networks for language modeling. In contrast to the well known back-off n-gram language models, the neural network …...

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CEU-UPV English-Spanish system for WMT11

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DOI: nan

This paper describes the system presented for the English-Spanish translation task by the collaboration between CEU-UCH and UPV for 2011 WMT. A comparison of indepen- dent phrase-based translation models interpo- …...

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Efficient Subsampling for Training Complex Language Models

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Publication: TIPSTER (2011)

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We propose an efficient way to train maximum entropy language models (MELM) and neural network language models (NNLM). The ad- vantage of the proposed method comes from a more robust …...

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Semi-supervised Word Sense Disambiguation with Neural Models

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AbstractDetermining the intended sense of words in text – word sense disambiguation (WSD) – is a long-standing problem in natural language processing. Recently, researchers have shown promising results using word …...

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