Natural Language Processing Interface for Multi-Language Application Development
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Solution Overview
Problem
Existing natural language processing systems face difficulties due to individual components not working seamlessly together, requiring separate lexicons for each component, and being limited to a single language, making it challenging and costly for developers to create multi-language applications.
Innovation Solution
An interface and object model that integrates natural language processing features across multiple languages, allowing developers to select desired features and manage lexicons, providing a comprehensive set of services that can handle multiple languages and balance performance with speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual natural language processing components are provided separately by different vendors, then each component can be optimized independently, but the components do not work seamlessly together and require substantial reformatting of processing results
Solution Approach 1:
The patent merges multiple individual natural language processing components (language detection, word breaking, spell checking, grammar checking) into a single integrated NLP system. This unified system allows components to work seamlessly together through standardized internal interfaces, eliminating the need for substantial reformatting between separate vendor components while maintaining the functional capabilities of each individual component.
Solution Approach 2:
The integrated NLP system implements a universal architecture that can handle multiple languages and various NLP tasks through a single cohesive platform. The system provides multi-functional capabilities including language detection, text segmentation, spelling verification, and grammar checking within one unified framework, reducing integration complexity compared to coordinating multiple separate components.
2Device complexity
If natural language processing systems are configured to provide features in a single language only, then system complexity is reduced, but multi-language applications require multiple components and language detection
Solution Approach 1:
The NLP system implements universal multi-language support through a single integrated architecture. The system can detect and process multiple languages automatically, eliminating the need for separate single-language components. The unified design maintains manageable system complexity while providing versatile multi-language capabilities through shared processing pipelines and language-agnostic data structures.
Solution Approach 2:
The system performs preliminary language detection automatically before routing text to appropriate language-specific processing modules. This preliminary action enables seamless multi-language support without requiring developers to manually specify language handling, reducing the complexity of implementing multi-language applications while maintaining efficient language-specific processing.
3Adaptability or versatility
If lexicons are added to multiple individual components in prior systems, then each component can use the lexicon, but the lexicon format may differ between components and adding a lexicon is not enabled across multiple components
Solution Approach 1:
The integrated NLP system implements a universal lexicon management architecture that provides a single, standardized interface for adding and managing lexicons. The unified lexicon format is compatible across all NLP components (spell checking, grammar checking, word breaking), eliminating the need to add separate lexicons to each component. The system automatically routes lexicon updates to all relevant components, reducing lexicon management complexity while maintaining full lexicon compatibility across the entire NLP pipeline.
4Adaptability or versatility
If comprehensive natural language processing features are provided, then processing capability is improved, but development time and costs increase for applications utilizing these features
Solution Approach 1:
The patent combines comprehensive NLP features (language detection, word breaking, spell checking, grammar checking, and customizable lexicons) into a single integrated system that can be accessed through one unified interface. This merger allows developers to utilize all these powerful processing capabilities without the complexity of integrating multiple separate components, significantly reducing development time and costs while maintaining full processing capability.
Data Source
AI summary
The present invention provides an interface and associated object model that exposes a comprehensive set of natural language processing features to an application developer. In one embodiment, the features include lexicon management services and proofing services.