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Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity

Abstract: 

In this paper, we study language models based on recurrent neural networks on three databases in two languages. We implement basic recurrent neural networks (RNN) and refined RNNs with long short-term memory (LSTM) cells. We use the corpora of Penn Tree Bank (PTB) and AMI in English, and the Academia Sinica Balanced Corpus (ASBC) in Chinese. On ASBC, we investigate wordbased and character-based language models. For characterbased language models, we look into the cases where the inter-word space is treated or not treated as a token. In summary, we report and comment on the performance of RNN language models with different databases, network topology, language, and granularity.

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Paper Details

Authors:
Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen
Submitted On:
21 November 2016 - 10:21am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Tzu-Hsuan Yang
Paper Code:
40
Document Year:
2016
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[1] Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen, "Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1285. Accessed: Sep. 21, 2019.
@article{1285-16,
url = {http://sigport.org/1285},
author = {Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen },
publisher = {IEEE SigPort},
title = {Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity},
year = {2016} }
TY - EJOUR
T1 - Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity
AU - Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1285
ER -
Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen. (2016). Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity. IEEE SigPort. http://sigport.org/1285
Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen, 2016. Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity. Available at: http://sigport.org/1285.
Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen. (2016). "Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity." Web.
1. Tzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen. Recurrent Neural Network-based Language Models with Variation in Net Topology, Language, and Granularity [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1285