@inproceedings{hellwig-etal-2020-treebank,
title = "The Treebank of Vedic {S}anskrit",
author = "Hellwig, Oliver and
Scarlata, Salvatore and
Ackermann, Elia and
Widmer, Paul",
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-1.632",
pages = "5137--5146",
abstract = "This paper introduces the first treebank of Vedic Sanskrit, a morphologically rich ancient Indian language that is of central importance for linguistic and historical research. The selection of the more than 3,700 sentences contained in this treebank reflects the development of metrical and prose texts over a period of 600 years. We discuss how these sentences are annotated in the Universal Dependencies scheme and which syntactic constructions required special attention. In addition, we describe a syntactic labeler based on neural networks that supports the initial annotation of the treebank, and whose evaluation can be helpful for setting up a full syntactic parser of Vedic Sanskrit.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings
%T The Treebank of Vedic Sanskrit
%A Hellwig, Oliver
%A Scarlata, Salvatore
%A Ackermann, Elia
%A Widmer, Paul
%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 hellwig-etal-2020-treebank
%X This paper introduces the first treebank of Vedic Sanskrit, a morphologically rich ancient Indian language that is of central importance for linguistic and historical research. The selection of the more than 3,700 sentences contained in this treebank reflects the development of metrical and prose texts over a period of 600 years. We discuss how these sentences are annotated in the Universal Dependencies scheme and which syntactic constructions required special attention. In addition, we describe a syntactic labeler based on neural networks that supports the initial annotation of the treebank, and whose evaluation can be helpful for setting up a full syntactic parser of Vedic Sanskrit.
%U https://aclanthology.org/2020.lrec-1.632
%P 5137-5146
Markdown (Informal)
[The Treebank of Vedic Sanskrit](https://aclanthology.org/2020.lrec-1.632) (Hellwig et al., LREC 2020)
ACL
- Oliver Hellwig, Salvatore Scarlata, Elia Ackermann, and Paul Widmer. 2020. The Treebank of Vedic Sanskrit. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 5137–5146, Marseille, France. European Language Resources Association.