Abstract. Conversion between different grammar frameworks is of great importance to comparative perfor- mance analysis of the parsers developed based on ...
A Machine Learning Approach to Convert CCGbank to Penn Treebank. COLING 2012 · Xiaotian Zhang, Hai Zhao, Cong Hui · Edit social preview.
Robust Conversion of CCG Derivations to Phrase Structure Trees. Zhang et al. (2012), 95.71, A Machine Learning Approach to Convert CCGbank to Penn Treebank.
This tool can convert CCG derivations to PTB trees using Max Entropy model implemented by OpenNLP, as well as visualizing the tree graphs. The main technical ...
Bilingual Continuous-Space Language Model Growing for Statistical Machine Translation · A Machine Learning Approach to Convert CCGbank to Penn Treebank. Citing ...
A Machine Learning Approach to Convert CCGbank to Penn Treebank · no code ... We present a machine-learning approach to classifying the phases of surface wave ...
This article presents an algorithm for translating the Penn Treebank into a corpus of Combinatory Categorial Grammar (CCG) derivations augmented with local ...
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Bracketing Guidelines for Treebank II Style Penn Treebank Project. University of. Pennsylvania. Bos, J. (2005). Towards wide-coverage semantic interpretation ...
In this article, we describe the required preprocessing step on the Arabic Treebank, as well as how to determine Arabic constituents' types.
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grammars are closer to the PTB than CCGbank, or due to their conversion method. We leave the application of their method to the CCG parser for future work ...