Abstract
In this paper, we propose a semi-automatic tree annotating workbench for building a Korean treebank. Generally, building a treebank requires an enormous effort by the annotator. In order to improve annotating efficiency, decrease the number of intervention required by the annotator, and help maintain consistent annotation in building a treebank, we have developed a semi-automatic tree annotating workbench consisting of following three stages: syntactic pattern extraction, syntactic pattern selection, and syntactic pattern application. The experiment was carried out with 27,966 tree tagged sentences as a training set and 3,108 sentences as a test set. As a result, the burden of manual annotation can be reduced by about 47% with the best selection of the feature set by using the proposed tree annotating workbench.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lim, JH., Park, SY., Kwak, YJ., Rim, HC. (2004). A Semi-automatic Tree Annotating Workbench for Building a Korean Treebank. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_31
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DOI: https://doi.org/10.1007/978-3-540-24630-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21006-1
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