@inproceedings{ehsan-butt-2020-dependency,
title = "Dependency Parsing for {U}rdu: Resources, Conversions and Learning",
author = "Ehsan, Toqeer and
Butt, Miriam",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.640",
pages = "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.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Dependency Parsing for Urdu: Resources, Conversions and Learning
%A Ehsan, Toqeer
%A Butt, Miriam
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F ehsan-butt-2020-dependency
%X 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.
%U https://aclanthology.org/2020.lrec-1.640
%P 5202-5207
Markdown (Informal)
[Dependency Parsing for Urdu: Resources, Conversions and Learning](https://aclanthology.org/2020.lrec-1.640) (Ehsan & Butt, LREC 2020)
ACL