Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs [PDF]
arXiv.org, 2023 Sanskrit (sa\d{m}sk\d{r}ta) enjoys one of the largest and most varied literature in the whole world. Extracting the knowledge from it, however, is a challenging task due to multiple reasons including complexity of the language and paucity of standard ...
Hrishikesh Terdalkar, A. Bhattacharya
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SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks such as word segmentation, morphological tagging, dependency parsing, and ...
Jivnesh Sandhan +4 more
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San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants [PDF]
arXiv.org, 2023 In this work, we develop language models for the Sanskrit language, namely Bidirectional Encoder Representations from Transformers (BERT) and its variants: A Lite BERT (ALBERT), and Robustly Optimized BERT (RoBERTa) using Devanagari Sanskrit text corpus.
Kartikeya Bhatnagar +3 more
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Samayik: A Benchmark and Dataset for English-Sanskrit Translation [PDF]
International Conference on Language Resources and Evaluation, 2023 We release Saamayik, a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. Sanskrit is a classical language still in sustenance and has a rich documented heritage.
Ayush Maheshwari +5 more
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A Benchmark and Dataset for Post-OCR text correction in Sanskrit [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Sanskrit is a classical language with about 30 million extant manuscripts fit for digitisation, available in written, printed or scannedimage forms.
Ayush Maheshwari +3 more
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TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 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 that modifies the characters at the word boundaries, and needs special ...
Jivnesh Sandhan +5 more
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Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights [PDF]
Findings, 2021 Automatic speech recognition (ASR) in Sanskrit is interesting, owing to the various linguistic peculiarities present in the language. The Sanskrit language is lexically productive, undergoes euphonic assimilation of phones at the word boundaries and ...
D. Adiga +5 more
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A Novel Neural Machine Translation Approach for low-resource Sanskrit-Hindi Language pair
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023 Sanskrit is one of the earliest native languages and is correctly described as "the gods' language" because of its wide use in Indian religious literature from the past. However, it is becoming less popular in modern India. Due in significant part to the
N. Sethi, Amita Dev, Poonam Bansal
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Handwritten Vedic Sanskrit Text Recognition Using Deep Learning and Convolutional Neural Networks
International Journal on Recent and Innovation Trends in Computing and Communication, 2023 Recognizing Vedic Sanskrit text is essential for accessing classical Indo-Aryan language, predominantly utilized in the Vedas. Currently, there is limited awareness about the Vedas, making this field a highly demanding and challenging area in pattern ...
Et al. Ashi Maheshwari
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Data-driven dependency parsing of Vedic Sanskrit
Language Resources and Evaluation, 2023 This paper describes the first data-driven parser for Vedic Sanskrit, an ancient Indo-Aryan language in which a corpus of important religious and philosophical texts has been composed.
Oliver Hellwig +2 more
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