The Persian Dependency Treebank Made Universal
September 21, 2020 ยท Declared Dead ยท ๐ International Conference on Language Resources and Evaluation
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Authors
Mohammad Sadegh Rasooli, Pegah Safari, Amirsaeid Moloodi, Alireza Nourian
arXiv ID
2009.10205
Category
cs.CL: Computation & Language
Citations
6
Venue
International Conference on Language Resources and Evaluation
Last Checked
5 months ago
Abstract
We describe an automatic method for converting the Persian Dependency Treebank (Rasooli et al, 2013) to Universal Dependencies. This treebank contains 29107 sentences. Our experiments along with manual linguistic analysis show that our data is more compatible with Universal Dependencies than the Uppsala Persian Universal Dependency Treebank (Seraji et al., 2016), and is larger in size and more diverse in vocabulary. Our data brings in a labeled attachment F-score of 85.2 in supervised parsing. Our delexicalized Persian-to-English parser transfer experiments show that a parsing model trained on our data is ~2% absolutely more accurate than that of Seraji et al. (2016) in terms of labeled attachment score.
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