Comparative Error Analysis of Parser Outputs on Telugu Dependency Treebank
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چکیده
We present a comparative error analysis of two parsers MALT and MST on Telugu Dependency Treebank data. MALT and MST are currently two of the most dominant data-driven dependency parsers. We discuss the performances of both the parsers in relation to Telugu language. we also talk in detail about both the algorithmic issues of the parsers as well as the language specific constraints of Telugu.The purpose is, to better understand how to help the parsers deal with complex structures, make sense of implicit language specific cues and build a more informed Treebank.
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تاریخ انتشار 2016