A Model for Chinese Sentence Similarity Computing

Xian Feng Yang; Zhou Yu; Pei Ying Zhang; Guo Hong Gao

doi:10.4028/www.scientific.net/AMR.143-144.668

Paper Titles

Anomalous Human Activity Detection Based on Online One-Class SVM with N-Grams Kernel
p.648

The Study on Sports CAD Training Software
p.653

A New Distributed Mining Association Rules Algorithm in Distributed Database System
p.658

A Multi-Objective PSO Algorithm for Energy-Efficient Scheduling
p.663

A Model for Chinese Sentence Similarity Computing
p.668

Research and Applications of Access Control Based on Logic SQL Database System
p.672

Research on Affective Recognition with Physiological Signals Based on IAGA and wkNN Classification
p.677

Research about Petri Nets Modeling of Railway Spring Festival Passenger Transport Based on Scale Free Networks
p.682

Study of the Temporary Passengers' Transportation Program during the Spring Festival Season Based on QoSFR Model
p.687

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144A Model for Chinese Sentence Similarity Computing

A Model for Chinese Sentence Similarity Computing

Abstract:

Sentence similarity computation is very important in the field of case-based machine translation. Through the in-depth analysis of sentence and the sentence similarity computing method based on the similarity computation of the word form feature, the word order feature and the semantic feature, we propose a sentence similarity computing model based on the multi-featured weight. By fusing the three features, giving different feature different weight to adapt the contribution of each feature to the sentence similarity computation, make sentence similarity computation more accurate. Experiment result shows that this approach has better accuracy in sentence similarity computation than the others.

You might also be interested in these eBooks

Smart Materials and Intelligent Systems, SMIS2010

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Pages:

668-671

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.668

Citation:

Cite this paper

Online since:

October 2010

Authors:

Xian Feng Yang, Zhou Yu, Pei Ying Zhang, Guo Hong Gao

Keywords:

Natural Language Processing, Semantic Similarity, Sentence Similarity, Word Form Similarity, Word Order Similarity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zhang Qi, Huang Xuan-jing, Wu Li-de: A new method for calculating similarity between sentences and application on automatic text summarization(Journal of Chinese information processing, 2004, 19(2) ), pp.93-99.

Google Scholar

[2] Lv Xue-qiang, Ren Fei-liang, Huang Zhi-dan et al: sentence similarity model and search algorithm of most similar sentence [J] (Journal of Northeastern University(Natural Science), 2003, 24(6), pp.531-534.

Google Scholar

[3] Liu Qun, Li Su-jian. [A]. Taipei: The 6th Chinese Lexical Semantics Workshop, (2002).

Google Scholar

[4] Jiang Min, Xiao Shi-bin, Wang Hong-wei et al. An improved word similarity computing method based on HowNet[J](Journal of Chinese information processing, 2008, 22(5), pp.84-89.

Google Scholar

[5] Dong Zhen-dong. HowNet[OL]. http: /www. keenage. com.

Google Scholar

[6] Li Bin, Liu Ting, Qin Bing et al: Chinese sentence similarity computing based on semantic dependency relationship analysis[J](Application Research of Computers. 2003, 20(12), P. 15-1.

Google Scholar

[7] Nan Xuan-guo, Cui Rong-yi. Sentence similarity computing based on multi-hierarchies combination [J]. (Journal of Yanbian University(Natural Science), 2007, 33(3), pp.191-194.

Google Scholar

[8] Yang Si-chun. An improved model for sentence similarity computing[J](Journal of University of Electronic Science and Technology of China, 2006, 35(6), pp.956-959.

Google Scholar