Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser

P Sangeetha, Parameswari Krishnamurthy, Amba Kulkarni


Abstract
Parsing has been gaining popularity in recent years and attracted the interest of NLP researchers around the world. It is challenging when the language under study is a free-word order language that allows ellipsis like Telugu. In this paper, an attempt is made to parse subordinate clauses especially, non-finite verb clauses and relative clauses in Telugu which are highly productive and constitute a large chunk in parsing tasks. This study adopts a knowledge-driven approach to parse subordinate structures using linguistic cues as rules. Challenges faced in parsing ambiguous structures are elaborated alongside providing enhanced tags to handle them. Results are encouraging and this parser proves to be efficient for Telugu.
Anthology ID:
2021.pail-1.2
Volume:
Proceedings of the First Workshop on Parsing and its Applications for Indian Languages
Month:
December
Year:
2021
Address:
NIT Silchar, India
Editors:
Kengatharaiyer Sarveswaran, Parameswari Krishnamurthy, Pruthwik Mishra
Venue:
PAIL
SIG:
Publisher:
NLP Association of India (NLPAI)
Note:
Pages:
12–19
Language:
URL:
https://aclanthology.org/2021.pail-1.2
DOI:
Bibkey:
Cite (ACL):
P Sangeetha, Parameswari Krishnamurthy, and Amba Kulkarni. 2021. Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser. In Proceedings of the First Workshop on Parsing and its Applications for Indian Languages, pages 12–19, NIT Silchar, India. NLP Association of India (NLPAI).
Cite (Informal):
Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser (Sangeetha et al., PAIL 2021)
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PDF:
https://aclanthology.org/2021.pail-1.2.pdf