#Google translate bot how to
#Google translate bot software
#Google translate bot code

Upping Google Translate’s language count opens a lot of potential doors for Google as it tries to reach new potential customers. And we’ll keep improving these models to deliver the same experience you’re used to with a Spanish or German translation, for example.” While this technology is impressive, it isn’t perfect.

#Google translate bot software

And we want to make this possible for even more people - especially those whose languages aren’t represented in most technology,” Google Translate senior software engineer Isaac Caswell explained in a blog post. “For years, Google Translate has helped break down language barriers and connect communities all over the world. Native speakers then helped refine the AI’s understanding through editing and correction. So, instead of translating a collection of books from English to Kurdish, the AI simply took in Kurdish texts and used neural language identification models to teach itself the languages. Where traditional AI models would need to see the new language translated into one it already understands, Zero-Shot relies just on text in the new language. Google leveraged a new technical approach to teach Google Translate the new languages called Zero-Shot Machine Translation. Notably, the list includes Kurdish, which is largely spoken by people in Iraq, as well as Krio, a creole technically based on English and spoken mostly in Sierra Leone. The list includes eight languages spoken largely in India and surrounding countries, three languages spoken by the indigenous people of Central and South America, two South Asian languages native to the Philippines and the Maldives, and 10 languages spoken across Africa. The new collection of languages is focused on non-European languages. The tech giant’s new language options encompass more than 300 million speakers, and extend to many languages that few if any other voice assistants can converse in at the moment. The post Google Translate for code, and an R help-list bot appeared first on Statistical Modeling, Causal Inference, and Social Science.Google Translate has absorbed another 24 languages, giving it fluency in 133 of the world’s tongues. We started out by just reading through the riddles one at a time but we had more fun after inventing a game where we’d open the book and read a riddle, then open again at random to give the answer. It’s sort of like when we were kids and had this book, Bennett Cerf’s Book of Riddles-it was a gray with a picture of a big red rock-eater on the cover. you are using the R.app GUI), so please consider if this is the appropriate list” and “The posting guide was not followed” and “Please use the R-devel list to comment on current development versions” would work pretty well for almost any question (maybe after some global sub of Stan for R). I have a feeling that advice such as “PLEASE do, and not send HTML” and “My guess is that this is a Mac-specific question (e.g. The bot would be easy: whatever the question is that comes in, just send back a random tip. Let’s take a successful existing help group-for example, the R-help mailing list-then make a database of the helpful bits of advice of a distinguished and frequent contributor to the list.

#Google translate bot how to

We were talking about how to build a Stan community that will be helpful to a diverse range of users without taking up too much of our time, and that’s when I came up with a brilliant idea. Or, if I start by translating, I go back and forth to make sure it all makes sense. What I do is try my best to write it in the desired language, but I can try out some tricky words or phrases in the translator. If I want to write a message to someone in French or Spanish or Dutch, I wouldn’t just write it in English and run it through Translate. Google Translate for human languages isn’t perfect either but it’s a useful guide.

#Google translate bot code

Wouldn’t it be great if Google Translate could work on computer languages? I suggested this and somebody said that it might be a problem because code isn’t always translatable. Some discussion of revision of the Nuts paper, some conversations about parameterizations of categorical-data models, plans for the R interface, blah blah blah. What we did in our Stan meeting yesterday: