Studies on the automatic recognition of modern chinese conjunction usages

Authors:
Hongying Zan;Lijuan Zhou;Kunli Zhang
Affiliations:
School of Information Engineering, Zhengzhou University, Zhengzhou, China;School of Information Engineering, Zhengzhou University, Zhengzhou, China;School of Information Engineering, Zhengzhou University, Zhengzhou, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

Citing 3
Cited 0

The nature of statistical learning theory

The nature of statistical learning theory
A maximum entropy approach to natural language processing

Computational Linguistics
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning

Quantified Score

Hi-index	0.00

Visualization

Abstract

The conjunctions can connect words, sentences and even paragraphs. They have special connection functions and their usages are complex and diverse. At present, the studies on conjunctions are mostly human-oriented. These descriptions can not avoid such limitations as subjectivity and illegibility, and are not easy to be applied directly to natural language processing (NLP). This paper studies the automatic recognition of conjunction usages in the background of NLP. It designs a rule-based method and several statistical methods for conjunction usages recognition. Results are compared and analyzed and turns out that rule-based method and statistical methods have advantages and disadvantages.