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Universal Dependency Treebank for Odia Language

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arxiv 2205.11976 v1 pith:E2NSZ22V submitted 2022-05-24 cs.CL

classification cs.CL
keywords odiatreebanklanguagelearninganalysisannotatedavailabledependency
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents the first publicly available treebank of Odia, a morphologically rich low resource Indian language. The treebank contains approx. 1082 tokens (100 sentences) in Odia selected from "Samantar", the largest available parallel corpora collection for Indic languages. All the selected sentences are manually annotated following the ``Universal Dependency (UD)" guidelines. The morphological analysis of the Odia treebank was performed using machine learning techniques. The Odia annotated treebank will enrich the Odia language resource and will help in building language technology tools for cross-lingual learning and typological research. We also build a preliminary Odia parser using a machine learning approach. The accuracy of the parser is 86.6% Tokenization, 64.1% UPOS, 63.78% XPOS, 42.04% UAS and 21.34% LAS. Finally, the paper briefly discusses the linguistic analysis of the Odia UD treebank.

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  1. Analysis of Indic Language Capabilities in LLMs

    cs.CL 2025-01 conditional novelty 4.0 of 10

    A desk-research review finds that LLM performance is strongest for Hindi, Bengali, Marathi, Telugu, and Tamil, and recommends prioritizing these five languages for safety benchmarks.

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