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AMAZON CHATBOT ALEXA INFORMATION HOW TO
AMAZON CHATBOT ALEXA INFORMATION FREE

The chatbot answers each time in the language you used, as shown in the following animation.

Comment modifier le contenu Q et A Bot ?.

❼ómo modifico el contenido de Q y A Bot ?.

Enter the following questions (in English, Spanish, and French):.

From the designer page, under Tools, choose QnABot Client.

To test the bot, open the client webpage.

For the ENABLE_MULTI_LANGUAGE_SUPPORT parameter, change the value from false to true.

In the content designer page, under Tools, choose Settings.

You are now ready to configure the multi-language functionality.

On the designer page, choose the menu icon.Ĭonfiguring the multi-language functionality.

You should also receive an email with temporary credentials to access the QnABot designer. Look for the value for the ContentDesignerURL key. If this is the first time accessing the chatbot design console, you can find the correct URL on the AWS CloudFormation console on the Output tab of your bot stack.

Open the content designer page of your chatbot.

For list of language codes refer to Īfter you successfully deploy your CloudFormation stack, complete the following steps:

LexV2BotLocaleIds - enter one or more of the language codes (with multiple values separated by comma such as: en_US, es_US, es_ES, fr_FR).

LexBotVersion - you can choose between two options: “LexV1 and LexV2” or “LexV2”.

These parameters are used to support users to interact with the bot using voice in the configured languages. When deploying the AWS QnABot solution (version 4.7.0 and higher) CloudFormation template, you will see two new parameters LexBotVersion and LexV2BotLocaleIds. Amazon Lex V2 APIs use an updated information architecture (IA) to deliver simplified versioning, support for multiple languages in a bot, and streaming capabilities. QnABot supports both Amazon Lex V1 and V2 APIs. When specifying your stack name, include QnA in the name, for example, MultiLangQnABot. If you have not already done so, launch the QnABot on an AWS CloudFormation stack in one of the available Regions.

AMAZON CHATBOT ALEXA INFORMATION FREE

If you don’t have an account, the AWS Free Tier lets you gain experience with AWS products, and services. To implement this solution, you must have an AWS account. Creating a Alexa Experience from Q&A Chatbot.Using the Q&A Chatbot Content Designer, Question Bank and Trying the Chat Experience.Deploying Q&A Chatbot Using CloudFormation.You can also see the following videos on YouTube: (Optional) Configure Amazon Connect to use QnABot with multiple languagesįor instructions on creating and customizing your bot, see Create a Question and Answer Bot with Amazon Lex and Amazon Alexa.

(Optional) Configure your Alexa skill with multiple languages.(Optional) Set up the alternate curated answers in a different language.Configure the multi-language functionality.This is an especially powerful feature when using QnABot in a contact center supporting callers with different language preferences. Now QnABot supports voice interactions in multiple languages as well. With QnABot v4.7.0 and later, that limitation is removed. In earlier releases, QnABot’s multilingual capabilities were limited to Amazon Lex bot text interactions. The bot then uses Amazon Translate, a neural machine translation service to convert questions and answers across languages from a single shared set of FAQs and documents. The QnABot can detect the predominant language in an interaction by using Amazon Comprehend, a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.

AMAZON CHATBOT ALEXA INFORMATION HOW TO

This post describes how to achieve that by using the multi-language functionality of your question and answer bot (QnABot). However, if you live in a non-English-speaking country or your business has global reach, you will want a multilingual bot to cater to all your users. You can use Amazon Lex to build a question and answer chatbot. Updated June 2021 – QnABot now supports voice interaction in multiple languages using Amazon LexV2.