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Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages.

J. Sandhan, A. Daksh, O. Paranjay, L. Behera, and P. Goyal. CoRR, (2022)

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Neural Approaches for Data Driven Dependency Parsing in Sanskrit.A. Krishna, A. Gupta, D. Garasangi, J. Sandhan, P. Satuluri, and P. Goyal. CoRR, (2020)Systematic Investigation of Strategies Tailored for Low-Resource Settings for Sanskrit Dependency Parsing.J. Sandhan, L. Behera, and P. Goyal. CoRR, (2022)Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka.J. Sandhan, A. Barbadikar, M. Maity, P. Satuluri, T. Sandhan, R. Gupta, P. Goyal, and L. Behera. CoRR, (2023)Evaluating Neural Word Embeddings for Sanskrit.J. Sandhan, O. Adideva, D. Komal, L. Behera, and P. Goyal. CoRR, (2021)Object counting in a single surveillance image.J. Sandhan, A. Mitra, and V. Subramanian. NCC, page 1-4. IEEE, (2017)A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages.J. Sandhan, A. Krishna, A. Gupta, L. Behera, and P. Goyal. EACL (Student Research Workshop), page 111-120. Association for Computational Linguistics, (2021)TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer.J. Sandhan, R. Singha, N. Rao, S. Samanta, L. Behera, and P. Goyal. EMNLP (Findings), page 6902-6912. Association for Computational Linguistics, (2022)A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit.J. Sandhan, A. Gupta, H. Terdalkar, T. Sandhan, S. Samanta, L. Behera, and P. Goyal. COLING, page 4071-4083. International Committee on Computational Linguistics, (2022)Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing.J. Sandhan, L. Behera, and P. Goyal. EACL, page 2156-2163. Association for Computational Linguistics, (2023)Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages.J. Sandhan, A. Daksh, O. Paranjay, L. Behera, and P. Goyal. CoRR, (2022)

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Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages.

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Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages.