Renkui Hou

Orcid: 0000-0003-2510-6277

According to our database1, Renkui Hou authored at least 13 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2021
Language change in Chinese political discourse based on the relationship between sentence and clause.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

2020
Classification of regional and genre varieties of Chinese: A correspondence analysis approach based on comparable balanced corpora.
Nat. Lang. Eng., 2020

Robust stylometric analysis and author attribution based on tones and rimes.
Nat. Lang. Eng., 2020

Linguistic characteristics of Chinese register based on the Menzerath - Altmann law and text clustering.
Digit. Scholarsh. Humanit., 2020

Language change in Report on the Work of the Government by Premiers of the People's Republic of China.
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

2019
Distance between Chinese Registers Based on the Menzerath-Altmann Law and Regression Analysis.
Glottometrics, 2019

2017
A Study on Correlation between Chinese Sentence and Constituting Clauses Based on the Menzerath-Altmann Law.
J. Quant. Linguistics, 2017

Stylometric Studies based on Tone and Word Length Motifs.
Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation, 2017

Metaphors in Chinese Accompanying Gesture Modality and Cognition.
Proceedings of the Chinese Lexical Semantics - 18th Workshop, 2017

Mandarin Relata: A Dataset of Word Relations and Their Semantic Types.
Proceedings of the Chinese Lexical Semantics - 18th Workshop, 2017

2016
Analysis on Chinese quantitative stylistic features based on text mining.
Digit. Scholarsh. Humanit., 2016

2015
An Improved Algorithm of Materialized View Selection within the Confinement of Space.
Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015

2014
A Study on Chinese Quantitative Stylistic Features and Relation Among Different Styles Based on Text Clustering.
J. Quant. Linguistics, 2014


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