Abstract
This paper presents the first dependency treebank for Bhojpuri, a resource-poor language that belongs to the Indo-Aryan language family. The objective behind the Bhojpuri Treebank (BHTB) project is to create a substantial, syntactically annotated treebank which not only acts as a valuable resource in building language technological tools, also helps incross-lingual learning and typological research. Currently, the treebank consists of 4,881 annotated tokens in accordance with the annotation scheme of Universal Dependencies (UD). A Bhojpuri tagger and parser were created using machine learning approach. The accuracy of the model is 57.49% UAS, 45.50% LAS, 79.69% UPOS accuracy, and 77.64% XPOSaccuracy. The paper describes the details of the project including a discussion on linguistic analysis and annotation process of the Bhojpuri UD treebank.
Original language | English (Ireland) |
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Title of host publication | Proceedings of the WILDRE5--5th Workshop on Indian Language Data: Resources and Evaluation |
Place of Publication | Online |
Publication status | Published - 1 Jan 2020 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Ojha, Atul Kr. and Zeman, Daniel