Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Transformation-Based tectogrammatical analysis of czech
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Detecting and Correcting Errors in an English Tectogrammatical Annotation
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
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We present experiments with automatic annotation of English texts, taken from the Penn Treebank, at the dependency-based tectogrammatical layer, as it is defined in the Prague Dependency Treebank. The proposed analyzer, which is based on machine-learning techniques, outperforms a tool based on hand-written rules, which is used for partial tectogrammatical annotation of English now, in the most important characteristics of tectogrammatical annotation. Moreover, both tools were combined and their combination gives the best results.