Search Results for author: Amba Kulkarni

Found 16 papers, 1 papers with code

Free Word Order in Sanskrit and Well-nestedness

no code implementations ICON 2020 Sanal Vikram, Amba Kulkarni

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.

Parsing Subordinate Clauses in Telugu using Rule-based Dependency Parser

no code implementations PAIL (ICON) 2021 P Sangeetha, Parameswari Krishnamurthy, Amba Kulkarni

Parsing has been gaining popularity in recent years and attracted the interest of NLP researchers around the world.

DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit

1 code implementation14 Oct 2023 Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala, Sriram Krishnan, Pavankumar Satuluri, Amba Kulkarni, Pawan Goyal

This work introduces the novel task of nested compound type identification (NeCTI), which aims to identify nested spans of a multi-component compound and decode the implicit semantic relations between them.

Constituency Parsing named-entity-recognition +2

Sanskrit Segmentation Revisited

no code implementations ICON 2019 Sriram Krishnan, Amba Kulkarni

Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages.

Segmentation Text Segmentation +1

Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus

no code implementations13 May 2020 Sriram Krishnan, Amba Kulkarni, Gérard Huet

But inconsistencies in morphological analysis, and in providing crucial information like the segmented word, urges the need for standardization and validation of this corpus.

Morphological Analysis

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