How is translation AI trained?

How is translation AI trained?

Translation AI is trained using large datasets of bilingual text, where the model learns to map phrases from one language to another.

What kind of data is used for training?

Typically, parallel corpora are used, which consist of texts in one language alongside their translations in another.

Are there specific algorithms used in this training?

Yes, algorithms like neural networks, particularly transformer models, are commonly used for their effectiveness in understanding context.

How does the AI improve over time?

The AI improves through continuous training on new data and feedback from users, allowing it to adapt to language changes.

Can translation AI handle idiomatic expressions?

Yes, advanced translation AI can understand and translate idiomatic expressions, but it may still struggle with less common phrases.