mBART50 Fine-Tuning for Translation of South African Languages.

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natural language processing

Type de record:

paper

Créateur:

SimKorSunOlu

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ministercmanga/mBART50-fine-tuning

Fine-tuning a pre-trained mBART50 Large Language Model for translating South African languages Proj

Fine Tuning Methods for Low-resource Languages

The rise of Large Language Models has not been inclusive of all cultures. The models are mostly trai

Early-Layer LoRA Fine-Tuning for Cross-Lingual Lexical Alignment in Zero-Shot Translation of Low-Resource African Languages

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their performance in low

C-EB/Fine-Tuning-mBART-for-Darija-to-English-Translation

Fine-tuning mBART for Moroccan Darija–English translation using a custom parallel dataset, with a de

Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese

This paper examines the effectiveness of Large Language Models (LLMs) in translating the low-resourc

Multilingual language model Adaptive Fine-Tuning: A Study on African Languages

Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks on both high-resourced and low-resourced languages. However, there is still a large performance drop for languages unseen during pre-training, espec

mBART50 Fine-Tuning for Translation of South African Languages.

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