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1
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge ...
BASE
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2
Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data ...
Li, Hao; Wang, Yang; Liu, Xinyu. - : arXiv, 2018
BASE
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3
Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge ...
Liu, Quan; Jiang, Hui; Ling, Zhen-Hua. - : arXiv, 2016
BASE
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4
Deep Bottleneck Features for Spoken Language Identification
Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014
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5
Deep bottleneck features for spoken language identification
Jiang, Bing; Song, Yan; Wei, Si. - : Public Library of Science, 2014
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6
A new method for mispronunciation detection using support vector machine based on pronunciation space models
In: Speech communication. - Amsterdam [u.a.] : Elsevier 51 (2009) 10, 896-905
BLLDB
OLC Linguistik
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7
HETERONYM VERIFICATION FOR MANDARIN SPEECH SYNTHESIS
In: http://isca-speech.org/archive_open/archive_papers/iscslp2008/137.pdf
BASE
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