Language Translation to Local Languages

Abstract

In a world where information is at our fingertips, language can either be a bridge or a barrier. This research explores the vital role of language translation, particularly in the context of local languages. Millions of individuals face challenges accessing information due to the limited availability of content in their native tongues. This paper investigates the significance of language translation and the hurdles encountered by local language speakers in our digital age. Highlighting the transformative power of language translation, we discuss its role in connecting diverse communities and ensuring that no one is left behind in the digital landscape. We shed light on the specific challenges faced by those speaking local languages, emphasizing the urgent need for innovative solutions. Our exploration includes an overview of traditional and modern language translation methods, with a focus on advanced techniques like BERT, GloVe, and Word2Vec. These methods aim to go beyond mere translation, capturing the nuances and intricacies of local languages to provide a more inclusive and accurate representation. Through a comprehensive examination of datasets, translation models, and evaluation metrics, this research seeks to uncover insights that can revolutionize the accessibility of information for local language speakers. The findings presented in this paper contribute to the ongoing dialogue on language inclusivity, offering a glimpse into the future of language translation and its potential impact on global communication and understanding.