ImperialNLP/BertGen
Training and evaluation codes for the BertGen paper (ACL-IJCNLP 2021)
This project helps researchers and developers working on advanced AI models for understanding and generating content across different languages and media types. It takes in multilingual text and images to produce rich, combined representations (multilingual, multimodal embeddings) that can be used for tasks like translating text while considering images, translating images into captions, or general language generation. It's designed for those who develop or experiment with cutting-edge natural language processing and computer vision models.
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Use this if you are developing or fine-tuning AI models that need to process and generate content across multiple languages and integrate visual information, for tasks like multimodal machine translation or image captioning.
Not ideal if you are looking for an off-the-shelf application to perform translations or generate image captions without needing to build or train a custom AI model.
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Python
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Last pushed
Sep 17, 2023
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