Lingvanex and Modern MT are moderate performers, providing satisfactory quality but not as high as the top performers. Royalflush, Niutrans, and Groq have the lowest average scores, meaning their translations often need more edits.
Read more: Languages Supported by Popular Machine Translation Engines
Processing time is a crucial metric reflecting a translation engine's efficiency. Faster processing times are essential for real-time translations. Here are the average processing times for each engine:
Google: 0.22 seconds
Microsoft: 0.26 seconds
Amazon: 0.33 seconds
Modern MT: 0.36 seconds
Lingvanex: 0.45 seconds
DeepL: 0.51 seconds
Chat GPT: 1.12 seconds
Niutrans: 1.47 seconds
Royalflush: 1.83 seconds
Processing Time netherlands mobile database of Different Engines
Processing Time of Different Engines=
This chart showcases the average processing time of each machine translation engine.
From the chart above, Google, Microsoft, and Amazon are the fastest, making them ideal for quick translations. Modern MT, Lingvanex, and DeepL have moderate speeds.
ChatGPT, Niutrans, and Royalflush are the slowest, which can be a drawback in time-sensitive situations.
Correlation Between Process Time and Score
Heatmap Matrix=
Heatmap Matrix
This chart shows no correlation between translation speed and quality.
To see if there's a relationship between processing time and translation quality, we analyzed the correlation between these two metrics. The chart above shows a correlation coefficient of about -0.093, indicating a very weak negative correlation. This means faster translation times don't necessarily affect the quality, and the two metrics are mostly independent.