Prabhupadavani: a code-mixed speech translation data for 25 languages
Nowadays, the interest in code-mixing has become ubiquitous in Natural Language
Processing (NLP); however, not much attention has been given to address this phenomenon …
Processing (NLP); however, not much attention has been given to address this phenomenon …
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 …
users through natural language technologies. The morphological richness, compounding …
Enhancing multilingual natural language processing with custom subword tokenization: Subword2vec and bilstm integration for lightweight and streamlined …
DP Manukonda, RG Kodali - 2024 6th International …, 2024 - ieeexplore.ieee.org
This research introduces a specialized language tagging model tailored for in-depth word-
level analysis of Hinglish, a hybrid language that combines Hindi and English. Leveraging …
level analysis of Hinglish, a hybrid language that combines Hindi and English. Leveraging …
Arabic Speech Processing: State of the Art and Future Outlook
The aim of this article is to study the Arabic speech processing applications which have
introduced the voice communication as a solution for specific situations (non-native …
introduced the voice communication as a solution for specific situations (non-native …