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Found 11 papers, 3 papers with code
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit
We propose a graph-based model for joint morphological parsing and dependency parsing in Sanskrit.
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit
Ours is a search-based structured prediction framework, which expects a graph as input, where relevant linguistic information is encoded in the nodes, and the edges are then used to indicate the association between these nodes.
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit
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.
Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka
We provide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of 6 prominent kavyashastra schools, to illustrate the proposed framework.
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
We compare the performance of each of the models in a low-resource setting, with 1, 500 sentences for training.
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages
Owing to the resource constraints, we formulate this task as a word ordering (linearisation) task.
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
The configurational information in sentences of a free word order language such as Sanskrit is of limited use.
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit
Derivational nouns are widely used in Sanskrit corpora and represent an important cornerstone of productivity in the language.
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?
We construct an elaborate features space for our system by combining conditional rules from the grammar \textit{Adṣṭ{\=a}dhy{\=a}y{\=\i}}, semantic relations between the compound components from a lexical database \textit{Amarakoṣa} and linguistic structures from the data using Adaptor Grammars.
Word Segmentation in Sanskrit Using Path Constrained Random Walks
In Sanskrit, the phonemes at the word boundaries undergo changes to form new phonemes through a process called as sandhi.
