PO-EMO: Conceptualization, annotation, and modeling of aesthetic emotions in German and English poetry

T Haider, S Eger, E Kim, R Klinger… - arXiv preprint arXiv …, 2020 - arxiv.org
Most approaches to emotion analysis of social media, literature, news, and other domains
focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art …

Automatic speech recognition in Sanskrit: A new speech corpus and modelling insights

D Adiga, R Kumar, A Krishna, P Jyothi… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatic speech recognition (ASR) in Sanskrit is interesting, owing to the various linguistic
peculiarities present in the language. The Sanskrit language is lexically productive …

A graph-based framework for structured prediction tasks in Sanskrit

A Krishna, B Santra, A Gupta, P Satuluri… - Computational …, 2021 - direct.mit.edu
We propose a framework using energy-based models for multiple structured prediction tasks
in Sanskrit. Ours is an arc-factored model, similar to the graph-based parsing approaches …

Finding contrasting patterns in rhythmic properties between prose and poetry

HF de Arruda, SM Reia, FN Silva, DR Amancio… - Physica A: Statistical …, 2022 - Elsevier
Poetry and prose are written artistic expressions that help us appreciate the reality we live in.
Each of these styles has its own set of subjective properties, such as rhyme and rhythm …

Evaluating neural word embeddings for Sanskrit

J Sandhan, O Adideva, D Komal, L Behera… - arXiv preprint arXiv …, 2021 - arxiv.org
Recently, the supervised learning paradigm's surprisingly remarkable performance has
garnered considerable attention from Sanskrit Computational Linguists. As a result, the …

Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit

J Sandhan - arXiv preprint arXiv:2308.08807, 2023 - arxiv.org
The primary focus of this thesis is to make Sanskrit manuscripts more accessible to the end-
users through natural language technologies. The morphological richness, compounding …

Neural approaches for data driven dependency parsing in Sanskrit

A Krishna, A Gupta, D Garasangi, J Sandhan… - arXiv preprint arXiv …, 2020 - arxiv.org
Data-driven approaches for dependency parsing have been of great interest in Natural
Language Processing for the past couple of decades. However, Sanskrit still lacks a robust …

Sanskrit Knowledge-based Systems: Annotation and Computational Tools

H Terdalkar - arXiv preprint arXiv:2406.18276, 2024 - arxiv.org
We address the challenges and opportunities in the development of knowledge systems for
Sanskrit, with a focus on question answering. By proposing a framework for the automated …

A pattern recognition approach for distinguishing between prose and poetry

HF de Arruda, SM Reia, FN Silva, DR Amancio… - arXiv preprint arXiv …, 2021 - arxiv.org
Poetry and prose are written artistic expressions that help us to appreciate the reality we live.
Each of these styles has its own set of subjective properties, such as rhyme and rhythm …

Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka

J Sandhan, A Barbadikar, M Maity, P Satuluri… - arXiv preprint arXiv …, 2023 - arxiv.org
Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of
the Indian subcontinent for centuries. However, not much attention has been devoted to …