home edit page issue tracker
This page pertains to UD version 2.

UD Odia ODTB

Language: Odia (code: or)
Family: IE

This treebank has been part of Universal Dependencies since the UD v2.16 release.

The following people have contributed to making this treebank part of UD: Shantipriya Parida, Kalyanamalini Sahoo, Atul Kr. Ojha, Saraswati Sahoo, Biswakalpita Mohapatra, Satya Ranjan Dash, Bijayalaxmi Dash, Kusum Lata.

Repository: UD_Odia-ODTB
Search this treebank on-line: PML-TQ
Download all treebanks: UD 2.17

License: CC BY-SA 4.0

Genre: nonfiction, news

Questions, comments? General annotation questions (either Odia-specific or cross-linguistic) can be raised in the main UD issue tracker. You can report bugs in this treebank in the treebank-specific issue tracker on Github. If you want to collaborate, please contact [shantipriya • parida (æt) gmail • com, shashwatup9k (æt) gmail • com, sdashfca (æt) kiit • ac • in, biswakalpitamohapatra1 (æt) gmail • com, kalyanamalini • shabadi (æt) univ-lille • fr, sahoosaraswati455 (æt) gmail • com, rudrabijayalaxmi (æt) gmail • com,ranapoo (æt) gmail • com]. Development of the treebank happens directly in the UD repository, so you may submit bug fixes as pull requests against the dev branch.

Annotation Source
Lemmas annotated manually
UPOS annotated manually, natively in UD style
XPOS annotated manually
Features not available
Relations annotated manually, natively in UD style

Description

The Odia UD Treebank (ODTB) is a part of the Universal Dependency treebank project.

The Odia Universal Dependency Treebank (ODTB) project is a collaboration initiated by the below institute/university to develop the first Universal Dependency Treebank in Odia language suitable for many natural language processing (NLP) tasks.

The Odia UD Treebank (ODTB) consists of 100 sentences. The ODTB data contains syntactic annotation according to dependency-constituency schema, as well as morphological/POS tags and lemmas. In this data, XPOS is annotated according to Bureau of Indian Standards (BIS) Part Of Speech (POS) tagset.

Acknowledgments

We would like to acknowledge the support of the Research Ireland as part of Grant Number SFI/12/RC/2289_P2 Insight_2, Insight Research Ireland Centre for Data Analytics and and CA21167 COST Action UniDive (by COST (European Cooperation in Science and Technology). The authors thank John Bauer (Stanford University) for supporting the Odia Treebank project. The authors also thank Dr. Daniel Zeman (UFAL, Charles University) for his encouragement and support in building ODTB.

References

@inproceedings{parida-etal-2022-universal,
title = "{U}niversal {D}ependency Treebank for {O}dia Language",
author = "Parida, Shantipriya and
Shabadi, Kalyanamalini and
Ojha, Atul Kr. and
Sahoo, Saraswati and
Dash, Satya Ranjan and
Dash, Bijayalaxmi",
editor = "Jha, Girish Nath and
L., Sobha and
Bali, Kalika and
Ojha, Atul Kr.",
booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.wildre-1.15/",
pages = "84--89",
abstract = "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 were selected from {\textquotedblleft}Samantar{\textquotedblright}, the largest available parallel corpora collection for Indic languages. All the selected sentences are manually annotated following the {\textquotedblleft}Universal Dependency{\textquotedblright} 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."
}

Statistics of UD Odia ODTB

POS Tags

ADJ – ADP – ADV – AUX – CCONJ – DET – NOUN – NUM – PART – PRON – PROPN – PUNCT – SCONJ – VERB

Features

Relations

acl – advcl – advmod – amod – appos – aux – case – cc – ccomp – clf – compound – conj – cop – det – discourse – dislocated – flat – iobj – list – mark – nmod – nsubj – nummod – obj – obl – parataxis – punct – root – xcomp

Tokenization and Word Segmentation

Morphology

Tags

Nominal Features

Degree and Polarity

Verbal Features

Pronouns, Determiners, Quantifiers

Other Features

Syntax

Auxiliary Verbs and Copula

Core Arguments, Oblique Arguments and Adjuncts

Here we consider only relations between verbs (parent) and nouns or pronouns (child).

Relations Overview