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IJCNLP
2004
Springer

Deterministic Dependency Structure Analyzer for Chinese

13 years 9 months ago
Deterministic Dependency Structure Analyzer for Chinese
In this paper, we present a deterministic dependency structure analyzer for Chinese. This analyzer implements two algorithms – Yamada and Nivre models – and two sorts of classifiers – Support Vector Machines and Maximum Entropy methods. We compare the performance of these 2x2 combinations. We evaluate the method on a dependency tagged corpus derived from the CKIP Treebank corpus. Then, we analyzed the errors in the experiments and found that some errors were caused by mistakes of nominal compounds analysis. Therefore we adopt an NP-chunker to solve this problem.
Yuchang Cheng, Masayuki Asahara, Yuji Matsumoto
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IJCNLP
Authors Yuchang Cheng, Masayuki Asahara, Yuji Matsumoto
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