the machine translation system has improved significantly over the years.
many companies use machine translation software for quick localization.
the machine translation engine supports over 100 languages.
modern machine translation technology uses neural networks.
researchers are developing better machine translation tools.
the neural machine translation model produces more natural results.
statistical machine translation was popular before deep learning.
users often check machine translation output for accuracy.
machine translation quality varies depending on language pairs.
businesses rely on machine translation services for global markets.
the machine translation api allows easy integration.
teachers use machine translation to help students understand foreign texts.
the machine translation system has improved significantly over the years.
many companies use machine translation software for quick localization.
the machine translation engine supports over 100 languages.
modern machine translation technology uses neural networks.
researchers are developing better machine translation tools.
the neural machine translation model produces more natural results.
statistical machine translation was popular before deep learning.
users often check machine translation output for accuracy.
machine translation quality varies depending on language pairs.
businesses rely on machine translation services for global markets.
the machine translation api allows easy integration.
teachers use machine translation to help students understand foreign texts.
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