![]() ![]() That’s is all we need for auto-translation. Open your Bot, and define the below context variables in your dialogue flow:Ĭreate the below states with the language specific components for the translation service to be detected automatically:Īdd the source variable in the Intent flow that holds the English Translation of the user input : (E.g : GoogleTest) and navigate to the “APIs & Services.”Ĭopy the API key from the Google Console that we created earlier and use it for the Authorization Token. So let’s find out how to get the Translation key from Google.Ĭreate a New Project. Here I am interested in configuring my Bot with Google Translation. Step 1: Enabling Google Translation Service on the Google Cloud Console.Ĭhoose your translation service and acquire the keys. The bot further converts the user input to English, intent recognition by the NLP engine kicks off, based on the dialogue flow the bot structures the response in English which is again translated back into the language in which the question was asked by the user. ![]() ![]() The Bot platform allows you to bring your own translation keys (Google / Bing) and the Bot can be configured to detect the language. Now that we understand how to build a bot let’s turn the Bot that can recognise the input from the end user conversing in his/her own language and respond accordingly. There is also an online MOOC (Massive Open Online Course) available on how to build your first BOT using the Oracle Platform and access the Bot through Facebook Channel. Building a Multi-Lingual Bot on the Oracle Chatbot Platformįirst things first, if you are new to building Chatbot using the Oracle Cloud Platform, here are some quick videos to get you started on the platform and its capabilities. ![]()
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