How accurate is Google Translate? (2024)

FAQs

How accurate is Google Translate? ›

Accuracy varies depending on language pair and content type, though some reports show Google Translate reaching 94% accuracy.

Accuracy varies depending on language pair and content type, though some reports show Google Translate reaching 94% accuracy.

DeepL Translate: The world's most accurate translator.

The overall accuracy is 82.5 percent. Google Translate accuracy varies greatly across the supported language pairs. For instance, Google Translate is 90 percent accurate for the commonly used English-Spanish language pair and only 55 percent for the less frequently used English-Aremenian pair.

By looking at the meaning of the sentence as a whole rather than just the individual words, Google Translate is able to generate more accurate, natural-sounding translations. In fact, Google claims that this approach “reduce[d] translation errors by more than 55%-85% on several major language pairs”.

Spelling and typos: If there are spelling mistakes or typos in the input text, Google Translate may not correct them and could produce incorrect translations based on the erroneous input.

DeepL is generally rated as having higher-quality translations, along with options to choose between formal and informal tones. So if you want the most accurate and natural-sounding translations, DeepL is usually the best option. Google Translate (and other services) are cheaper than DeepL.

Also known as DeepL Translator or DeepL.com, DeepL prides itself on delivering “the world's best machine translation.” Its proprietary neural networks are trained with the Linguee database to identify even the smallest nuances in text and generate the highest-quality translation possible.

DeepL in the Press

Tech giants Google, Microsoft and Facebook are all applying the lessons of machine learning to translation, but a small company called DeepL has outdone them all and raised the bar for the field. DeepL has also outperformed other services, thanks to more "French-sounding" expressions.

Can we trust Google Translate? ›

The reason for all this is quite simple: Google Translate's accuracy depends on how much data is available for the target language. Since 50.5% of websites are in English, Google Translate has a lot of input to work with. That's why it has the highest accuracy for English language pairs.

Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

Therefore, Google Translate will often give nonsensical translations, not representing the original meaning. In addition, teachers are immediately able to identify the use of electronic translations because the language used falls outside the language taught in the classroom.

For language learning, Google Translate is neither a blessing, nor a curse. Rather, it is just a tool that when used correctly, can help you quickly find decent-quality translations between two languages.

Speaking of translations, they are very fast and accurate, which is great. The selection of languages is also good, but it does miss quite a few. However, this isn't something to concern yourselves about because Apple will inevitably add all languages in the foreseeable future.

As one of the leading NMT technology vendors, DeepL can be: Fairly accurate: It can understand the broader context of words and phrases to produce more accurate and fluent translations and improve over time.

Google Translate is a great example of AI in action. It uses machine learning algorithms, particularly neural networks, to analyze and translate text between languages.

Also known as DeepL Translator or DeepL.com, DeepL prides itself on delivering “the world's best machine translation.” Its proprietary neural networks are trained with the Linguee database to identify even the smallest nuances in text and generate the highest-quality translation possible.

Some of the most accurate translations are the Spanish-English language pair. But, even translations between these languages are not at the level for use by a business. Other languages have a lower level of accuracy. Some of these include Chinese, German, and Portuguese.