Amba Kulkarni


2021

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Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser
P Sangeetha | Parameswari Krishnamurthy | Amba Kulkarni
Proceedings of the First Workshop on Parsing and its Applications for Indian Languages

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.

2020

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Dependency Relations for Sanskrit Parsing and Treebank
Amba Kulkarni | Pavankumar Satuluri | Sanjeev Panchal | Malay Maity | Amruta Malvade
Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

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Free Word Order in Sanskrit and Well-nestedness
Sanal Vikram | Amba Kulkarni
Proceedings of the 17th International Conference on Natural Language Processing (ICON)

The common wisdom about Sanskrit is that it is free word order language. This word order poses challenges such as handling non-projectivity in parsing. The earlier works on the word order of Sanskrit have shown that there are syntactic structures in Sanskrit which cannot be covered under even the non-planarity. In this paper, we study these structures further to investigate if they can fall under well-nestedness or not. A small manually tagged corpus of the verses of Śrīmad-Bhagavad-Gītā was considered for this study. It was noticed that there are as many well-nested trees as there are ill-nested ones. From the linguistic point of view, we could get a list of relations that are involved in the planarity violations. All these relations had one thing in common - that they have unilateral expectancy. It was this loose binding, as against the mutual expectancy with certain other relations, that allowed them to cross the phrasal boundaries.

2019

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Sanskrit Segmentation revisited
Sriram Krishnan | Amba Kulkarni
Proceedings of the 16th International Conference on Natural Language Processing

Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, Gérard Huet’s Reader in the Sanskrit Heritage Engine analyzes the input text and segments it based on the word parameters - phases like iic, ifc, Pr, Subst, etc., and sandhi (or transition) that takes place at the end of a word with the initial part of the next word. And it enlists all the possible solutions differentiating them with the help of the phases. The phases and their analyses have their use in the domain of sentential parsers. In segmentation, though, they are not used beyond deciding whether the words formed with the phases are morphologically valid. This paper tries to modify the above segmenter by ignoring the phase details (except for a few cases), and also proposes a probability function to prioritize the list of solutions to bring up the most valid solutions at the top.

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Sanskrit Sentence Generator
Amba Kulkarni | Madhusoodana Pai
Proceedings of the 6th International Sanskrit Computational Linguistics Symposium

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Dependency Parser for Sanskrit Verses
Amba Kulkarni | Sanal Vikram | Sriram K
Proceedings of the 6th International Sanskrit Computational Linguistics Symposium

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Pāṇinian Syntactico-Semantic Relation Labels
Amba Kulkarni | Dipti Sharma
Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)

2014

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Converting Phrase Structures to Dependency Structures in Sanskrit
Pawan Goyal | Amba Kulkarni
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

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Sanskrit Linguistics Web Services
Gérard Huet | Amba Kulkarni
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations

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Segmentation of Navya-Nyāya Expressions
Arjuna S. R | Amba Kulkarni
Proceedings of the 11th International Conference on Natural Language Processing

2013

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A Deterministic Dependency Parser with Dynamic Programming for Sanskrit
Amba Kulkarni
Proceedings of the Second International Conference on Dependency Linguistics (DepLing 2013)

2012

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Discourse Analysis of Sanskrit texts
Amba Kulkarni | Monali Das
Proceedings of the Workshop on Advances in Discourse Analysis and its Computational Aspects

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A Distributed Platform for Sanskrit Processing
Pawan Goyal | Gérard Huet | Amba Kulkarni | Peter Scharf | Ralph Bunker
Proceedings of COLING 2012

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Semantic Processing of Compounds in Indian Languages
Amba Kulkarni | Soma Paul | Malhar Kulkarni | Anil Kumar | Nitesh Surtani
Proceedings of COLING 2012

2009

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Anusaaraka: An accessor cum machine translator
Amba Kulkarni
Proceedings of the First International Workshop on Free/Open-Source Rule-Based Machine Translation

2002

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AnnCorra: Building Tree-banks in Indian Languages
Akshar Bharati | Rajeev Sangal | Vineet Chaitanya | Amba Kulkarni | Dipti Misra Sharma | K.V. Ramakrishnamacharyulu
COLING-02: The 3rd Workshop on Asian Language Resources and International Standardization