10/4/2023 0 Comments Deepl translator google![]() In the case of their free versions, both Google Translate and DeepL retain the history of text being translated. There are also third party reviews that indicate DeepL’s translations for Russian and Czech are more accurate than that of Google Translate.Īn often overlooked but critical factor of evaluating any neural machine translation platform is security. That said, DeepL prides itself on providing better, more accurate translations than Google Translate and similar services. While not all languages supported by Google Translate are quite so accurate-largely due to a lack of texts supporting the language translations-this indicates that the tool can be quite reliable from a quality perspective depending on the language. A research study from 2019 found that 92% of English to Spanish translations and 81% of English to Chinese translations were translated accurately. However, the tool has made leaps and bounds in terms of translation quality over the years. Given how long it has been around, Google Translate has in the past been lampooned for providing poor quality translations. If the languages you seek to translate are supported by both DeepL and Google Translate, then translation quality is, of course, the most important factor in distinguishing between the two. ![]() informal, this kind of functionality can make a key difference in translation output. For languages like French, Spanish, and Russian, all of which have nuances associated with formal vs. ![]() This can be important for properly translating brand names-for example, no one wants the “Apple” brand name to be translated into “manzana” or “pomme.” Another distinct feature, though one that is only available via the paid version of DeepL, is the ability to toggle between formal and informal tones. DeepL however does offer some key features not offered by Google, such as the ability to add terms to a glossary that dictates exactly how specific words should be translated. Like Google, DeepL also allows users to translate entire files such as PDFs or PowerPoint files into a different language, though there is no option for websites. Users can use their mobile phones’ camera app to capture a piece of visual text, such as a packaging label, and see a live translation of the text into the target language. The Google Translate app also permits users to translate image-based media in 27 languages. In addition to allowing users to input content directly into a textbox, Google Translate enables users to upload entire documents or web pages to be translated into any of its supported languages. ![]() While both translation engines contain the same core feature-allowing users to translate content between languages-there are a number of distinctions between supplementary options that users have to improve or personalize translations. This limited selection excludes some of the world’s most commonly spoken languages, including Arabic, Hindi, and Bengali-together which are spoken by 1.1 billion people worldwide. With the recent additions of Turkish and Indonesian, this brings the total count of languages supported by DeepL to 28, the majority of which are European. We can expect this number to increase, as Google currently has an additional 103 languages in development.Ĭonversely, DeepL supports significantly fewer languages. Having recently added 24 languages to its service, Google Translate currently supports 133 languages. One of the most obvious differences between the two platforms is the number of languages supported. To better understand the differences between the two, let’s take a look at several key factors that distinguish Google Translate from DeepL. DeepL itself claims to be varying degrees of more accurate than alternative solutions, including Google Translate. Some users have expressed sentiments indicating a preference for DeepL, stating that it outperforms Google Translate. Developed by a former Google employee, DeepL is also an NMT engine that has quickly emerged as a solid competitor to Google Translate. In 2016, Google switched to a neural machine translation (NMT) model that significantly improved its overall translation accuracy.ĭeepL was launched in 2017, over a decade after Google Translate. The tool originally provided word-for-word translations which provided limited, patchworked results. Created in 2006, Google Translate has become almost synonymous with the concept of free online translation.
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