Dynamic Translation in Conversation Bots for Multilingual Flows
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Solution Overview
Problem
Existing conversation bots are limited to a single native language, requiring significant effort and resources to design and implement multiple language versions, which is inefficient and resource-intensive.
Innovation Solution
A dynamic translation mechanism that automatically translates conversation bot outputs and inputs between different human languages, allowing a single design to be utilized across multiple languages, while maintaining seamless conversation flow and logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple language versions of conversation bots are designed and implemented, then user accessibility is enhanced, but development effort and resources increase significantly
Solution Approach 1:
The patent implements a universal conversation bot design that can function across multiple languages by integrating dynamic translation capabilities. Instead of creating separate bot instances for each language, a single bot design is enhanced with translation functionality that enables it to communicate in multiple languages, thereby achieving multi-functionality and reducing development complexity.
Solution Approach 2:
The patent introduces translation services as an intermediary layer between the conversation bot and users speaking different languages. The bot communicates in its native language through the translation intermediary, which converts messages to the user's preferred language, eliminating the need to design separate bot versions for each language while maintaining natural conversation flow.
2Adaptability or versatility
If translation services are integrated into conversation bots, then multi-language support is achieved, but conversation flow and timing may be disrupted
Solution Approach 1:
The patent implements preliminary action by detecting the user's language preference in advance and pre-configuring the translation service accordingly. The system proactively sets up the appropriate translation parameters before the conversation begins, ensuring that translation occurs seamlessly without interrupting the natural flow of dialogue.
Solution Approach 2:
The patent applies dynamics by making the translation service adaptive and responsive during the conversation. The system dynamically adjusts translation based on the detected language preference and maintains real-time translation capabilities that respond to conversation pace and context, ensuring that translation does not create rigid delays or disrupt the natural rhythm of dialogue.
Data Source
AI summary
Data indicative of one or more user inputs directed to a user interface of a conversation designer tool is received. A conversation design is determined based on the data. The conversation design enables a conversation bot to provide a service using a conversation flow specified at least in part by the conversation design. The conversation design specifies in a first human language at least a portion of a message content to be provided by the conversation bot during an execution of the conversation flow. It is identified that an end-user of the conversation bot prefers to converse in a second human language different from the first human language. The message content of the conversation design in the first human language is dynamically translated for the end-user to the second human language.