@inproceedings{sangeetha-etal-2021-parsing-subordinate,
title = "Parsing Subordinate Clauses in {T}elugu using Rule-based Dependency Parser",
author = "Sangeetha, P and
Krishnamurthy, Parameswari and
Kulkarni, Amba",
editor = "Sarveswaran, Kengatharaiyer and
Krishnamurthy, Parameswari and
Mishra, Pruthwik",
booktitle = "Proceedings of the First Workshop on Parsing and its Applications for Indian Languages",
month = dec,
year = "2021",
address = "NIT Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.pail-1.2",
pages = "12--19",
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.",
}
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%0 Conference Proceedings
%T Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser
%A Sangeetha, P.
%A Krishnamurthy, Parameswari
%A Kulkarni, Amba
%Y Sarveswaran, Kengatharaiyer
%Y Krishnamurthy, Parameswari
%Y Mishra, Pruthwik
%S Proceedings of the First Workshop on Parsing and its Applications for Indian Languages
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C NIT Silchar, India
%F sangeetha-etal-2021-parsing-subordinate
%X 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.
%U https://aclanthology.org/2021.pail-1.2
%P 12-19
Markdown (Informal)
[Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser](https://aclanthology.org/2021.pail-1.2) (Sangeetha et al., PAIL 2021)
ACL