Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media

Fuente: arXiv
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Main Authors: Goni, MD Ashraful, Mostafa, Fahad, Kee, Kerk F.
Format: Preprint
Published: 2024
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author Goni, MD Ashraful
Mostafa, Fahad
Kee, Kerk F.
author_facet Goni, MD Ashraful
Mostafa, Fahad
Kee, Kerk F.
contents Ethnic media, which caters to diaspora communities in host nations, serves as a vital platform for these communities to both produce content and access information. Rather than utilizing the language of the host nation, ethnic media delivers news in the language of the immigrant community. For instance, in the USA, Bangla ethnic media presents news in Bangla rather than English. This research delves into the prospective integration of large language models (LLM) and multi-lingual machine translations (MMT) within the ethnic media industry. It centers on the transformative potential of using LLM in MMT in various facets of news translation, searching, and categorization. The paper outlines a theoretical framework elucidating the integration of LLM and MMT into the news searching and translation processes for ethnic media. Additionally, it briefly addresses the potential ethical challenges associated with the incorporation of LLM and MMT in news translation procedures.
format Preprint
id arxiv_https___arxiv_org_abs_2402_14179
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media
Goni, MD Ashraful
Mostafa, Fahad
Kee, Kerk F.
Computation and Language
Artificial Intelligence
Ethnic media, which caters to diaspora communities in host nations, serves as a vital platform for these communities to both produce content and access information. Rather than utilizing the language of the host nation, ethnic media delivers news in the language of the immigrant community. For instance, in the USA, Bangla ethnic media presents news in Bangla rather than English. This research delves into the prospective integration of large language models (LLM) and multi-lingual machine translations (MMT) within the ethnic media industry. It centers on the transformative potential of using LLM in MMT in various facets of news translation, searching, and categorization. The paper outlines a theoretical framework elucidating the integration of LLM and MMT into the news searching and translation processes for ethnic media. Additionally, it briefly addresses the potential ethical challenges associated with the incorporation of LLM and MMT in news translation procedures.
title Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2402.14179