@inproceedings{safari-etal-2022-persian,
title = "The {P}ersian Dependency Treebank Made Universal",
author = "Safari, Pegah and
Rasooli, Mohammad Sadegh and
Moloodi, Amirsaeid and
Nourian, Alireza",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.766",
pages = "7078--7087",
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), larger in size and more diverse in vocabulary. Our data brings in labeled attachment F-score of 85.2 in supervised parsing. Also, our delexicalized Persian-to-English parser transfer experiments show that a parsing model trained on our data is {\mbox{$\approx$}}2{\%} absolutely more accurate than that of Seraji et al. (2016) in terms of labeled attachment score.",
}
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%0 Conference Proceedings
%T The Persian Dependency Treebank Made Universal
%A Safari, Pegah
%A Rasooli, Mohammad Sadegh
%A Moloodi, Amirsaeid
%A Nourian, Alireza
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F safari-etal-2022-persian
%X 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), larger in size and more diverse in vocabulary. Our data brings in labeled attachment F-score of 85.2 in supervised parsing. Also, our delexicalized Persian-to-English parser transfer experiments show that a parsing model trained on our data is \approx2% absolutely more accurate than that of Seraji et al. (2016) in terms of labeled attachment score.
%U https://aclanthology.org/2022.lrec-1.766
%P 7078-7087
Markdown (Informal)
[The Persian Dependency Treebank Made Universal](https://aclanthology.org/2022.lrec-1.766) (Safari et al., LREC 2022)
ACL
- Pegah Safari, Mohammad Sadegh Rasooli, Amirsaeid Moloodi, and Alireza Nourian. 2022. The Persian Dependency Treebank Made Universal. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 7078–7087, Marseille, France. European Language Resources Association.