What is multimodal translation?
Simply put, it’s translating content across various types of media.
Why is multimodality important?
Types of multimodal translation:
Text-to-text: This is the simplest form where you can translate text from one language to another language.
Audio-to-text: Here the audio is transcribed and then translated also into several languages.
Audio-to-audio: May be implemented in the future. It’s the same concept as audio to text but the output remains in audio format.
Video-to-text: May be implemented in the future. Also similar to the audio to text.
Live-video-to-text: May be implemented in the future.
video-to-video: May be implemented in the future.
All the above work from one language to many languages. For example you could translate one video (english) to several videos (italian, french, and dutch).
Technology used:
Speech recognition: Important to recognize spoken language for interpretation and translation. Output can then be in text or audio format.
Limitations:
language support: Hard to support all languages, since every language has its own modal that has to be trained and installed into the application.
Maintaining context: The context may change across different media. So it’s a must to ensure the context remains correct.
Improvements:
As mentioned above, audio to audio will be implemented in the future. Other media types can also be implemented like videos and images.
References:
Quickstart
Developer Guide
Technical Debt
Change Log
License
1 maintainer
Metadata
1 maintainer
Release files for multimodal-translation 1.0.1
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