Machine Translation Best Practices

About this course

Adopt industry-proven best practices for machine translation.

• 7 lessons
• 45 min
• intermediate

What you'll learn

• Describe the historical progression of machine translation paradigms
• Compare rule-based, statistical, and neural machine translation approaches
• Identify key considerations when selecting an MT paradigm for a given use case
• Apply data cleaning and normalization techniques to parallel corpora
• Evaluate data quality and quantity requirements for MT training
• Implement data augmentation and filtering strategies

Finishing the course

• 28 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.

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