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Artificial Intelligence Task

Translation

AI Translation Task has become very sophisticated in recent years, with advancements in neural machine translation allowing for more accurate and natural-sounding translations with less computational costs. Different translation tasks can be tackled using different models taking into account many aspects of the task.

Input

Human Natural Language, likely in textual form

Output

Translated Human Natural Language

Goal

To convert the meaning of text from one language to another accurately and efficiently

Learning Strategy

Sequence-to-sequence models and neural machine translation on big corpora

Evaluation Metric

BLEU score, TER, accuracy, and fluency

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