Ad Hoc Enriched Term Corpus for Language Support Assistant Services
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Solution Overview
Problem
In large computing environments like the cloud, searching for definitions or accuracy of terms is challenging due to numerous conflicting resources, especially when terms are not commonly used or are overshadowed by more popular ones, and existing translation and spell-checking tools often rely on general domain dictionaries that may not accurately reflect specific domain knowledge.
Innovation Solution
A method and system that utilize a Language Support Assistance Service to extract language input queries, identify relevant terms, and provide ad-hoc enriched terms from a Term Related Corpus Data Service, tailored to the specific domain and request type, ensuring accurate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a customizable term dictionary is used that can be updated by end users, then the dictionary can be tailored to user needs, but the accuracy and reliability of term definitions deteriorate because end users may not have the best knowledge of a particular domain
Solution Approach 1:
The patent introduces an intermediary system (the term dictionary service with automated enrichment) between end users and the actual term definitions. This intermediary automatically enriches the term dictionary with domain-specific terms and definitions from multiple sources, eliminating the need for end users to manually update terms while maintaining both customizability and accuracy. The system acts as a mediator that combines user-specific needs with authoritative domain knowledge.
2Adaptability or versatility
If general domain dictionaries are used for translation and spell-checking tools, then the tools can serve a broad audience, but the accuracy deteriorates when dealing with specific domain knowledge or uncommon terms
Solution Approach 1:
The patent implements a dynamic term dictionary that can adapt its content based on the specific domain and context of the translation task. The system automatically enriches the dictionary with relevant domain-specific terms and definitions before performing translations, allowing the same translation tool to accurately handle both general and specialized terminology. This dynamic adaptation resolves the contradiction between broad applicability and domain-specific accuracy.
3Adaptability or versatility
If multiple resources are searched for term definitions, then more options are available, but the reliability deteriorates due to conflicting responses from different sources
Solution Approach 1:
The patent implements a feedback mechanism where the system searches multiple resources for term definitions, automatically evaluates their consistency and reliability, and selects or reconciles the most accurate definition. The system provides feedback loops that continuously improve term definition accuracy by learning from multiple sources and resolving conflicts automatically, maintaining both resource diversity and definition consistency.
Data Source
AI summary
A method, computer system, and a computer program product are provided for responding to a language input query with ad hoc enriched term data. The technique comprises extracting information relating to the language input query using a Language Support Assistance Service. The extracted information includes one or more language terms requiring further support and an associated request type. This is identified from metadata relating to the language input query. Information is provided to a Term Related Corpus Data Service that includes one or more language terms requiring further support and the identified request type and any identified sources. The Term Related Corpus Data Service returns one or more ad hoc enriched terms that are tailored to the one or more language terms requiring further support and is according to the associated request type. The Language Support Assistance Service provides a response to the language input query.