The State of Machine Translation 2022. A Required MT Guide
Every year, experts from Intento look at the ever-evolving MT landscape and share their findings for free.
This time they teamed up with e2f to build a dedicated MT benchmark dataset of about 1,000,000 words across 11 language pairs and 9 content domains.There are a total of 45 MT vendors on the market - and they have evaluated the translation quality of 31 of them to map the current MT landscape for teams like yours.
The result? A list of 16 top performers featuring both old favorites and promising newcomers.
Quick takeaways:
In 2022, MT covers 125k language pairs
16 of 31 MT vendors provide the best quality for at least one language pair or domain
Some domains require a more careful choice of MT
Stock MT may not work that well for others, and customization is needed.
For more hard numbers and expert insights, watch the webinar!
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