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BambaraMLLM: A Unified Multilingual Multimodal Large Language Model for Comprehensive Bambara Language Processing

Domain:

natural language processing

Record type:

modelsoftware
Creator:
AssDia
Publisher:
Und
Host:avatar
BambaraMLLM is a unified multilingual multimodal large language model (MMLLM) designed to address the critical lack of digital resources for Bambara, a West African language spoken by over 15 million people. Unlike traditional approaches that rely on task-specific models for different linguistic functions, BambaraMLLM integrates text generation, automatic speech recognition (ASR), machine translation (MT), and text-to-tpeech (TTS) synthesis into a single, transformer-based architecture. This work establishes a scalable, open-source foundation for African language technology, optimizing for both performance and deployment under resource constraints.

Visit

doi.orgunderline.io

Tasks

automatic speech recognitionmachine translationspeech processingtext to speech

Languages

BamanankanLame

Tags

Computational LinguisticsNatural Language ProcessingArtificial Intelligence

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