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Large language models (LLMs) demonstrate promising translation performanceamong various natural languages. However, many LLMs especially the open-sourcedones, such as BLOOM and LLaMA, are English-dominant and support only dozens ofnatural languages, making the potential of LLMs on language translation lessexplored. In this work, we present BigTranslate which adapts LLaMA that coversonly 20 languages and enhances it with multilingual translation capability onmore than 100 languages. BigTranslate is built upon LLaMA-13B and it isoptimized in three steps. First, we continue training LLaMA with massiveChinese monolingual data. Second, we continue training the model with alarge-scale parallel dataset that covers 102 natural languages. Third, weinstruct-tune the foundation model with multilingual translation instructions,leading to our BigTranslate model. The preliminary experiments on multilingualtranslation show that BigTranslate performs comparably with ChatGPT and GoogleTranslate in many languages and even outperforms ChatGPT in 8 language pairs.We release the BigTranslate model and hope it can advance the researchprogress.

BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages