Abstract
A major effort is currently underway to develop a large-scale treebank for Indian low resource Languages (ILRLs). Apart from that, a rich and large-scale treebank can be an essential resource for linguistic investigations. This paper presents the first publicly available treebank of Santali low resource Indian language. The treebank contains 307 tokens (51 sentences) in the Santali language. All the selected sentences are manually annotated following the Universal Dependency guidelines. The morphological analysis of the Santali treebank was performed using machine learning techniques. The Santali annotated treebank will enrich the Santali language resource and will help in building language technology tools for cross-lingual learning and typological research. We also built a preliminary Santali parser using a machine learning approach. Finally, the paper briefly discusses the linguistic analysis of the Santali UD treebank.
Publisher
The Electrochemical Society
Cited by
2 articles.
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1. Computational Linguistics for Ho Language;Studies in Computational Intelligence;2024
2. Universal Dependency Treebank for Ho Language;Evolution in Computational Intelligence;2023