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@article{188854,
        author = {Chandrashekhar Jatla and Bhagyashree Hiranne and Aditya Patil and Divya Adeppa and Rachita Rajole and Mahesh Kanjikar},
        title = {Language Translation Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4146-4148},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188854},
        abstract = {Language translation is the process of converting text or speech from one language into another, enabling cross-cultural communication and understanding.
It plays a vital role in global interaction, impacting fields such as diplomacy, commerce, education, literature, and technology. Traditional human translation relies on linguistic expertise and cultural nuance, while modern advancements in machine translation—powered by artificial intelligence and neural networks—have significantly increased speed and accessibility.
Despite technological progress, challenges remain in preserving contextual meaning, idiomatic expressions, and cultural subtleties. Ongoing research aims to enhance translation accuracy and develop more sophisticated models that can understand and replicate human- like language comprehension. As global connectivity increases, the importance of effective and ethical translation continues to grow.
A typical abstract for a language translation model paper would briefly introduce the problem of language barriers in today's world, highlighting the need for effective translation tools.},
        keywords = {Language Translation, Neural Machine Translation, Encoder–Decoder Model, Attention Mechanism, Natural Language Processing, Deep Learning},
        month = {December},
        }