Authors :
Punidha; Gokulachalam; Karthi Prasad; Ramakrishnan
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/55a7k38a
Scribd :
https://tinyurl.com/ydp2c3h6
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1134
Abstract :
This paper presents Yazhi, a transformation
model specially designed for Tamil, known for its
robustness and unique language features Yazhi
combines advanced transformer architecture with
reinforcement learning, encoder -decoder system for
Yazhi traditional model moves highly effective therefore
, improving comprehensibility and generation of
advanced Tamil text Represents a significant
improvement in natural language processing, and offers
robust solutions to computer understanding and
translation challenges using available resources mastery
and learning to quickly understand subtle nuances of
language. Through his seminal work, Yazhi sets a new
benchmark for business research on Tamil content
generation and translation.
Keywords :
Tamil Language, Transformer Architecture, Large Language Model, Yazhi, Morphological Complexity, Data Scarcity, Semantic Variability, Encoder-Decoder Structure, Reinforcement Learning, Python, PyTorch, NLP.
This paper presents Yazhi, a transformation
model specially designed for Tamil, known for its
robustness and unique language features Yazhi
combines advanced transformer architecture with
reinforcement learning, encoder -decoder system for
Yazhi traditional model moves highly effective therefore
, improving comprehensibility and generation of
advanced Tamil text Represents a significant
improvement in natural language processing, and offers
robust solutions to computer understanding and
translation challenges using available resources mastery
and learning to quickly understand subtle nuances of
language. Through his seminal work, Yazhi sets a new
benchmark for business research on Tamil content
generation and translation.
Keywords :
Tamil Language, Transformer Architecture, Large Language Model, Yazhi, Morphological Complexity, Data Scarcity, Semantic Variability, Encoder-Decoder Structure, Reinforcement Learning, Python, PyTorch, NLP.
