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Official implementation for UniVL video and language training models
UniVL is a video-language pretrain model. It is designed with four modules and five objectives for both video language understanding and generation tasks. It is also a flexible model for most of the multimodal downstream tasks considering both efficiency and effectiveness.
Tmx2text provides a simple interface to extract text data from tmx translation memories. It is written in Python (requires Python3 or higher) and uses PyQt (Qt 4) and is released under the GPL. Although it was created for Linux it should work on other platforms where Python3 and PyQt4 are installed.
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This is currently a bunch of scripst used to manage translations of a large number of Java Server Pages (JSP). It is not integrated into any IDE, but can be used as a general way to manage these files from anywhere.