Chatbot
Multi-language Support
We are excited to introduce the Multi-language feature, designed to enhance the translation capabilities within our application. Now, users can translate stories into different languages using automatic translation powered by DeepL.
Key Features and Benefits:
- Automatic Translation: Seamlessly translate stories from one language to another with the help of DeepL’s powerful translation engine.
- Expanded Reach: Reach a wider audience by providing content in multiple languages.
- User-Friendly: The translation process is simple and intuitive.
How It Works:
Enable the Multi-language Module: Activate the Multi-language feature within the application settings to unlock translation capabilities.
Language Selection Setup. We will explain it more later
A translation sidebar will be available on the Story Builder page, providing easy access to the translation features.
After the translation is complete, review the translated text to ensure accuracy and make any necessary edits.
Once you are satisfied with the translations, save the changes and publish the stories to reach a broader audience.
We understand the importance of allowing users to have control over the language they prefer to interact with. Therefore, we have implemented a language selection menu that enables users to freely change the language according to their preferences.
- Language Selection Menu where user can choose from all the active languages supported by the Chatbot. This menu is easily accessible and allows users to switch between languages at any time during their interaction.
- Remembering User Preference: When a user selects a language from the menu, we remember their preference and make every effort to serve all future sessions in the selected language. This means that the Chatbot will attempt to provide a consistent experience in the chosen language whenever the user interacts with it in subsequent sessions.
Language Selection
The system employs a language selection mechanism to determine the language that will be served to the user. This ensures that users can interact with the Chatbot in their preferred language. The following methods are used to determine the language:
- HTML Tag: The system checks the HTML tag
<html lang="...">to determine the language preference set by the developer. This allows developers to explicitly define the default language for the Chatbot. - Language Code in the URL: The system analyzes the language code specified in the URL, such as
www.example.com/en/for English orwww.example.com/es/for Spanish. This allows users to navigate directly to a specific language version of the Chatbot. - Browser Language: The system automatically detects the language preference set in the user’s browser settings. It checks the browser’s language headers to determine the user’s preferred language.
Note: The priority of these methods can be customized, allowing to define the order in which the language is determined. Additionally, any of these methods can be enabled or disabled based on the specific requirements of the customer.
Fallback Logic: In cases where the user’s preferred language is not supported or cannot be determined, the system employs fallback logic to ensure a seamless user experience. The following fallback options are available:
- Hide Webchat: The system can hide the webchat interface if the user’s language is not supported. This prevents users from interacting with the Chatbot in a language that is not fully supported.
- Serve Primary Language of the Story: If the user’s preferred language is not available, the system can default to serving the primary language of the story. This ensures that users can still access the content in the primary language, even if their preferred language is not supported.
- Selected Language: Alternatively, the system can choose a predetermined selected language to serve to the user in cases where their preferred language is not available. This allows users to interact with the Chatbot in a different language while ensuring a consistent experience.