Corpus ID: 31253046

Punctuation Prediction for Unsegmented Transcript Based on Word Vector

@inproceedings{Che2016PunctuationPF,
  title={Punctuation Prediction for Unsegmented Transcript Based on Word Vector},
  author={Xiaoyin Che and Cheng Wang and Haojin Yang and C. Meinel},
  booktitle={LREC},
  year={2016}
}

Xiaoyin Che, Cheng Wang, +1 author C. Meinel

Published in LREC 2016

Computer Science

In this paper we propose an approach to predict punctuation marks for unsegmented speech transcript. [...] Key Method A training model of Deep Neural Network (DNN) or Convolutional Neural Network (CNN) is applied to classify whether a punctuation mark should be inserted after the third word of a 5-words sequence and which kind of punctuation mark the inserted one should be. TED talks within IWSLT dataset are used in both training and evaluation phases. The proposed approach shows its effectiveness by achieving…Expand Abstract

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