In a blind test conducted by DeepL, wherein professional translators evaluated the machine-translated content from DeepL and its competitors. Most translators scored DeepL’s translated content higher compared to others, like Google.
However, the graph above only shows European languages. If it were other language pairs like English to Korean, it might have gotten completely different results.
DeepLs' algorithm is designed to understand not just the words singapore mobile database but also the intent and tone behind them. Making its translations more natural and accurate.
For projects dealing with Asian language pairs, we often use Google Translate due to its extensive data and resources. However, this wide range can sometimes lead to compromises in the accuracy of its content.
Although Google Translate is highly effective for straightforward translations, it struggles with intricate linguistic nuances and specialized terminology.
2. Language Support and Limitations
In terms of language support, Google Translate stands out due to its extensive language support, covering about 133 languages. It includes low-resource languages or those less commonly spoken.
Its strength lies in its accessibility and ability to provide a basic understanding of various language pairs. However, its strength is also a limitation.
While Google Translate is adept at providing general translations, its performance can be inconsistent when dealing with complex sentences, idiomatic expressions, and specialized terminology.