2 citations · 5 across the 11 of their papers we have counts for
11 papers
Mitrasamgraha: A Comprehensive Classical Sanskrit Machine Translation Dataset
Sebastian Nehrdich, David Allport, Sven Sellmer +5
While machine translation is regarded as a "solved problem" for many high-resource languages, close analysis quickly reveals that this is not the case for content that shows challe…
Still Not There: Can LLMs Outperform Smaller Task-Specific Seq2Seq Models on the Poetry-to-Prose Conversion Task?
Kunal Kingkar Das, Manoj Balaji Jagadeeshan, Nallani Chakravartula Sahith +2
Large Language Models (LLMs) are increasingly treated as universal, general-purpose solutions across NLP tasks, particularly in English. But does this assumption hold for low-resou…
Mahānāma: A Unique Testbed for Literary Entity Discovery and Linking
Sujoy Sarkar, Gourav Sarkar, Manoj Balaji Jagadeeshan +3
High lexical variation, ambiguous references, and long-range dependencies make entity resolution in literary texts particularly challenging. We present Mahānāma, the first large-sc…
CAPE: Context-Aware Personality Evaluation Framework for Large Language Models
Jivnesh Sandhan, Fei Cheng, Tushar Sandhan +1
Psychometric tests, traditionally used to assess humans, are now being applied to Large Language Models (LLMs) to evaluate their behavioral traits. However, existing studies follow…
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala +4
Multi-component compounding is a prevalent phenomenon in Sanskrit, and understanding the implicit structure of a compound's components is crucial for deciphering its meaning. Earli…
Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit
Jivnesh Sandhan
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, fr…
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera +2
We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks…
TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer
Jivnesh Sandhan, Rathin Singha, Narein Rao +3
Sanskrit Word Segmentation (SWS) is essential in making digitized texts available and in deploying downstream tasks. It is, however, non-trivial because of the sandhi phenomenon th…
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar +4
The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation…
Evaluating Neural Word Embeddings for Sanskrit
Jivnesh Sandhan, Om Adideva, Digumarthi Komal +2
Recently, the supervised learning paradigm's surprisingly remarkable performance has garnered considerable attention from Sanskrit Computational Linguists. As a result, the Sanskri…
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
Jivnesh Sandhan, Amrith Krishna, Ashim Gupta +2
Neural dependency parsing has achieved remarkable performance for many domains and languages. The bottleneck of massive labeled data limits the effectiveness of these approaches fo…