Geolocation-Based Human Translator Matching Platform
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Solution Overview
Problem
Current technologies lack effective methods to promptly and accurately connect travelers with human language translation services, especially in emergency situations, and often rely on unreliable AI algorithms.
Innovation Solution
A computer-based platform that utilizes geolocation technology to instantly connect users with locally-sourced human language translators, providing voice or video call services and leveraging human translators for nuanced language understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If AI algorithms are used for language translation, then automation is improved, but translation accuracy and cultural nuance deteriorate
Solution Approach 1:
The patent introduces human translators as an intermediary between the translation request and the final translation output. The system automatically matches users with human translators based on location and language skills, combining automated matching with human execution to achieve both automation benefits and translation accuracy
Solution Approach 2:
The system enables human translators to self-register and self-manage their availability, language skills, and profile information. This allows the platform to maintain an updated database of translator resources without manual intervention while preserving the quality of human translation
2Adaptability or versatility
If human translators are connected without geolocation, then connection flexibility is improved, but response time in emergencies deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-registering and geolocating human translators in advance, storing their availability status and location information. When a translation request is made, the system can instantly query nearby available translators without needing to search or verify availability in real-time
Solution Approach 2:
The system implements feedback mechanisms where translators update their availability status and location information, and the system continuously monitors and updates the database. This feedback loop ensures that the most current information is available for rapid matching while maintaining connection flexibility
3Reliability
If a comprehensive translator database is created, then translation resource availability is improved, but system complexity deteriorates
Solution Approach 1:
The patent segments the translator database into distinct categories based on language pairs, geographic regions, and availability status. This segmentation allows the system to manage large numbers of translators through organized subsets rather than treating the entire database as a single complex entity
Solution Approach 2:
The system creates a universal platform that handles multiple functions: translator registration, geolocation, availability tracking, language skill matching, and connection facilitation. This multi-functional approach consolidates what could be multiple separate systems into a single integrated solution
Data Source
AI summary
In various embodiments, a computer-implemented language identification and communication system is provided. The system includes an application engine configured for processing data associated with multiple access devices of a population of users who are users seeking human language translation services and users providing human language translation services. A geolocation module is provided for locating a position of various users, such as the different locations of human language translators. The application engine is further programmed for receiving translator selections from user access devices and establishing communication connections between or among different user access devices.