Continuous space models with neural networks in natural language processing

Continuous space models with neural networks in natural language processing

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The purpose of language models is in general to capture and to model regularities of language, thereby capturing morphological, syntactical and distributional properties of word sequences in a given language. They play an important role in many successful applications of Natural Language Processing,...

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Bibliographic Details
Main Author: Le, Hai Son
Language:ENG
Published: Université Paris Sud - Paris XI 2012
Subjects:
[INFO:INFO_OH] Computer Science/Other
Continuous Space model
Neural Network
Statistical Language Model
Statistical Machine Translation
Natural Language Processing
Automatic Speech Recognition
Online Access:http://tel.archives-ouvertes.fr/tel-00776704
http://tel.archives-ouvertes.fr/docs/00/77/67/04/PDF/VA2_LE_HAI_SON_20122012.pdf
http://tel.archives-ouvertes.fr/docs/00/77/67/04/ANNEX/VA2_LE_HAI_SON_20122012_annexe.pdf
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