Ardhendu Samajdwer Blog

Introduction: Not every person who uses a chatbot, is a native English speaker. As the popularity of chatbots is increasing day by day, a very common scenario in chatbot implementation is to provide support for users in their native languages. Oracle Digital Assistant provides you a platform to design your enterprise grade chatbots quickly and efficiently. Though the NLP (Natural Language Processing) engine of Oracle Digital Assistant is based on English language, it still allows you to make your multi-lingual chatbots. To do so, you use translation services in Oracle Digital Assistant. In this article, you will become familiar with translation service in Oracle Digital Assistant and how to use them to create native language chatbots. Out of the box, Oracle Digital Assistant provide support for Google and Microsoft translation services. In order to use either of these services, you will first need to register with Google or Microsoft translation API services based on your pre...

Chatbot or intelligent bots or just bots, you may call them whatever you wish to. Gradually, they are becoming an integral part of our daily life. Because of its capabilities to get integrated with almost any messaging service say it WhatsApp, Facebook messenger, Snapchat, etc. they are becoming more and more known to us.  As many of us want to learn about chatbots and the way they function, I thought it would be good to share the common terminology used in chatbot development. So, here we go. Intent : It's a unit of work you intend to perform using the bot. It could be ordering pizza, checking your bank account balance, reserving a seat in your favourite restaurant, etc. Utterance : Example phrases, to understand the Intent, is called utterance. Bot will then use AI to able to understand the phrase.  For each Intent we generally train the bots with 10 to 15 Utterances. Bot should still detect phrases which are not part of Utterances and respond to them as it i...