Has useful translation features like document imports, and voice, image, and website translation.Supports many languages: Apart from popular languages like English, Spanish, and Italian, Google Translate can also translate text into less common languages like Telugu and Frisian (and vice versa).In contrast, people who aren’t in the business of translation are less likely to have heard of DeepL.

Is very well known: If you’ve heard of Google (and who hasn’t?) then you’re likely to also be aware of Google Translate.

Looking at Google Translate vs DeepL, there’s no doubt that Google Translate is the more popular online translator software among people not in the translation or localization industries. What Makes DeepL Different From Google Translate?

The adjustment of translations depending on whether you need a translation in a formal or informal tone.A translation glossary where users can create custom translation rules, and.The business also regularly puts its translation software through blind tests to assess the quality of its translations compared to those from other providers.Īlthough DeepL supports fewer languages than Google Translate (28 as of writing), it has a couple of features that the latter doesn’t offer. So what are they, exactly? What is DeepL? What is Google Translate? Google TranslateĪlso known as DeepL Translator or, 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. Accordingly, it’s no surprise that you’ll find it being used in leading machine translation tools in the market – with DeepL and Google Translate being two of such tools. Before being deployed, the neural machine translation software will be fed huge data sets containing different translations for a particular text, and “trained” to produce the most accurate translations possible.Īt this time, neural machine translation technology is the most advanced version of machine translation available. Hence the development of neural machine translation, which uses deep learning techniques and artificial intelligence to determine the best translation for a certain text. While statistical machine translation did a fair job of text translation, there is always room for improvement. From there, the statistical machine translation system applies prediction algorithms to churn out translations best adapted to the source text. After that, it crawls through massive amounts of human-translated text – known as bilingual text corpora – to find all examples of “bits” in these texts and their translated equivalents. This technology breaks the source text up into “bits” (such as words, phrases, and syntactical arrangements). Next came statistical machine translation, which did somewhat better at translating text. However, such rules-based, word-for-word machine translation wasn’t the most accurate and often required substantial “post-editing,” or manual revision by human translators, afterward. The machine translator would pull up the relevant language pair dictionary, then use grammatical rules and direct, literal translation to translate text.

The very first version of machine translation was quite primitive and involved translating text according to set rules. To understand how DeepL and Google Translate came into being, we first need to understand the origins of their technology – namely, neural machine translation. How Did Deepl and Google Translate Come Into Being? We’ll also do a comparison of DeepL vs Google Translate to evaluate their pros and cons, before sharing our recommendation of the best website machine translation solution. So to help you secure the best machine translations for your website, we’re going to explore the backgrounds of Google Translate and DeepL (and their underlying technologies).

But if you aren’t a professional translator, DeepL may be a more unfamiliar name. You’ve probably heard of and used Google Translate at least once in your life. While there are many machine translation systems available, two of the most reputable ones are Google Translate and DeepL. It’s therefore unsurprising that the volume of machine-translated-web content has increased six times over the last two years! Machine translation technology can translate text – especially large quantities of it – much faster than any human can, and at a much lower cost. If you’re looking to translate your website to serve customers in different languages, there’s no better technology available today than machine translation.

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