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TAIPEI EUROPEAN SCHOOLDEUTSCHE SECTION Criterion for die Boomerang um Surname in die Deutsche Section 1. For die Surname on Kinder UND Schlep in die Deutsche Section find hinreichende Deutschkenntnisse
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mutual-information-for-neural-machine-translationgrdict at is a measure of the relationship between two variables in the context of neural machine translation.
Researchers and developers working on neural machine translation models are typically required to calculate and report mutual-information-for-neural-machine-translationgrdict at.
Mutual-information-for-neural-machine-translationgrdict at can be calculated using various statistical methods such as pointwise mutual information or entropy-based approaches.
The purpose of calculating mutual-information-for-neural-machine-translationgrdict at is to understand the dependency between input and output tokens in neural machine translation models.
The calculated mutual information values for different pairs of input and output tokens must be reported on the mutual-information-for-neural-machine-translationgrdict at form.
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