Dependency Parsing for Urdu : Resources, Conversions and Learning
Dependency Parsing for Urdu : Resources, Conversions and Learning
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Date
2020
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Ehsan, Toqeer
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Proceedings of the Twelfth Language Resources and Evaluation Conference (LREC 2020) / Calzolari, Nicoletta; Béchet, Frédéric; Blache, Philippe et al. (ed.). - Paris : ELRA, European Language Resources Association, 2020. - pp. 5202-5207
Abstract
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.
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400 Philology, Linguistics
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12th Conference on Language Resources and Evaluation (LREC 2020), May 11, 2020 - May 16, 2020, Marseille, France
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EHSAN, Toqeer, Miriam BUTT, 2020. Dependency Parsing for Urdu : Resources, Conversions and Learning. 12th Conference on Language Resources and Evaluation (LREC 2020). Marseille, France, May 11, 2020 - May 16, 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, pp. 5202-5207BibTex
@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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