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The solution consists of an image processing service that analyzes input images and generates annotations for the images using pre-trained machine-learning models.
In this study we examined language learners’ attentional processing of a target syntactic construction in written L2 input in different input conditions, the change in learners’ knowledge of the ...
Regardless of the input, AI image generators will have a tendency to return certain kinds of results. This is where the potential for bias arises.
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