Dependency Parsing for Urdu : Resources, Conversions and Learning

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2020
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Ehsan, Toqeer
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CALZOLARI, Nicoletta, ed., Frédéric BÉCHET, ed., Philippe BLACHE, ed. and others. Proceedings of the Twelfth Language Resources and Evaluation Conference (LREC 2020). Paris: ELRA, European Language Resources Association, 2020, pp. 5202-5207
Zusammenfassung

This paper adds to the available resources for the under-resourced language Urdu by converting different types of existing treebanks for Urdu into a common format that is based on Universal Dependencies. We present comparative results for training two dependency parsers, the MaltParser and a transition-based BiLSTM parser on this new resource. The BiLSTM parser incorporates word embeddings which improve the parsing results significantly. The BiLSTM parser outperforms the MaltParser with a UAS of 89.6 and an LAS of 84.2 with respect to our standardized treebank resource.

Zusammenfassung in einer weiteren Sprache
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400 Sprachwissenschaft, Linguistik
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12th Conference on Language Resources and Evaluation (LREC 2020), 11. Mai 2020 - 16. Mai 2020, Marseille, France
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ISO 690EHSAN, Toqeer, Miriam BUTT, 2020. Dependency Parsing for Urdu : Resources, Conversions and Learning. 12th Conference on Language Resources and Evaluation (LREC 2020). Marseille, France, 11. Mai 2020 - 16. Mai 2020. In: CALZOLARI, Nicoletta, ed., Frédéric BÉCHET, ed., Philippe BLACHE, ed. and others. Proceedings of the Twelfth Language Resources and Evaluation Conference (LREC 2020). Paris: ELRA, European Language Resources Association, 2020, pp. 5202-5207
BibTex
@inproceedings{Ehsan2020Depen-59689,
  year={2020},
  title={Dependency Parsing for Urdu : Resources, Conversions and Learning},
  url={https://aclanthology.org/2020.lrec-1.640/},
  publisher={ELRA, European Language Resources Association},
  address={Paris},
  booktitle={Proceedings of the Twelfth Language Resources and Evaluation Conference (LREC 2020)},
  pages={5202--5207},
  editor={Calzolari, Nicoletta and Béchet, Frédéric and Blache, Philippe},
  author={Ehsan, Toqeer and Butt, Miriam}
}
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