It has a good reputation for accuracy, but it does make mistakes – fluency and adequacy being just two examples. As such, although it mimics human language a lot, it is far from perfect. Like other online translation tools, Google Translate is based on algorithms and neural networks. But beware! Publishing is quite a different thing and that is when we strong recommend that a professional translator reviews everything before going live.

You can browse an entire website in the chosen language, and even change languages as you browse.

If all you want to do is read a foreign language website in your native language, then a quick translation with Google Translate can help you. They said the Translated Wikipedia Biographies dataset can be used to evaluate gender bias in MT output along common translation errors - among which the researchers singled out three, pro-drop, possessives, and gender agreement.Do you think translating a website is easy? Perhaps all you need to translate a website with Google Translate is click a button or copy-paste some results? Well… don’t! These often occur when articles refer to a person explicitly in early sentences of a paragraph, but there is no explicit mention of the person in later sentences,” the researchers said in a Jblog post. “Because they are well-written, geographically diverse, contain multiple sentences, and refer to subjects in the third person (and so contain plenty of pronouns), Wikipedia biographies offer a high potential for common translation errors associated with gender. The ultimate goal, according to Google researchers, is to improve machine learning systems focused on gender and pronouns in translation by coming up with a benchmark for accuracy. In its ongoing quest to reduce gender bias in machine translation (MT), Google has released a dataset of Translated Wikipedia Biographies.

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