Paper: Multilingual Dependency Parsing Using Bayes Point Machines

ACL ID N06-1021
Title Multilingual Dependency Parsing Using Bayes Point Machines
Venue Human Language Technologies
Session Main Conference
Year 2006
Authors

We develop dependency parsers for Ara- bic, English, Chinese, and Czech using Bayes Point Machines, a training algo- rithm which is as easy to implement as the perceptron yet competitive with large margin methods. We achieve results com- parable to state-of-the-art in English and Czech, and report the first directed depen- dency parsing accuracies for Arabic and Chinese. Given the multilingual nature of our experiments, we discuss some issues regarding the comparison of dependency parsers for different languages.