Dynamic Database Augmentation for Multi-Word Substitution
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Solution Overview
Problem
Existing database systems for communication devices fail to learn from user activities and accurately handle groups of words, leading to incorrect spelling corrections and predictions.
Innovation Solution
A method is implemented where a communication device monitors a second database for added linguistic objects and updates its own database accordingly, allowing for real-time adaptation and accurate multi-word substitution during text input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a database of default words is stored in a communication device, then spelling corrections and predictions can be performed, but the database cannot learn from user activities and remains static
Solution Approach 1:
The patent transforms the static database into a dynamic system that automatically updates itself by monitoring user activities. The database evolves over time by incorporating new words and phrases from contact databases, message databases, and user input patterns, making it adaptive to individual user needs while maintaining its core spelling correction function.
Solution Approach 2:
The database performs self-updates by automatically monitoring user activities across different applications and databases within the device. It autonomously identifies new linguistic patterns and incorporates them without requiring external intervention or manual updates, enabling the system to improve its own performance continuously.
2Measurement precision
If single-word spelling correction is performed using a default database, then individual word accuracy can be improved, but multi-word phrases and groups of words are not recognized
Solution Approach 1:
The patent merges single-word correction capabilities with multi-word phrase recognition by integrating data from contact databases and message databases. This combination allows the system to recognize both individual words and their contextual relationships, enabling accurate correction of phrases like 'John Doe' as a unified linguistic unit rather than separate words.
Solution Approach 2:
The patent transitions from one-dimensional single-word correction to multi-dimensional phrase-level correction by incorporating contextual information from multiple sources. The system analyzes linguistic patterns across different dimensions (contact information, message history, user input) to recognize and correct multi-word phrases accurately.
Data Source
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AI summary
A method and communication device are provided for database augmentation using linguistic data stored on a device, and utilizing a database stored on a device to perform multi-word substitution. A database may be augmented by monitoring other databases that contain linguistic data, such as contact databases containing linguistic data regarding entities that a device may communicate with, and updating the database with linguistic data in the other databases. The linguistic data in the augmented database may be compared with words received from an input apparatus to determine whether any of the received words should be replaced with linguistic data from the augmented database. The augmented database may contain one word entries and multi-word entries to allow for multi-word substitution.