Cross-Language Query Translation for Automatic Language Selection
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Solution Overview
Problem
Conventional internet search engines struggle to effectively retrieve and present relevant information across multiple languages without user specification, leading to inefficiencies in identifying and translating non-English content, which limits the accessibility of knowledge for multilingual users.
Innovation Solution
A system that automatically selects relevant languages for cross-language information retrieval by translating queries into target languages, determining search results, and providing combined search results in the user's source language, allowing for efficient identification and presentation of relevant information without manual language selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional search engines retrieve information without automatic language selection, then users must manually specify languages which increases operation complexity, but this leads to better language-specific search precision
Solution Approach 1:
The search engine automatically detects and selects target languages for cross-language search without requiring user input. The system uses query terms to automatically identify relevant languages and performs translation and search operations autonomously, making the system self-serve the language selection function.
Solution Approach 2:
The system changes the language parameter dynamically by selecting multiple target languages based on query analysis. It transforms a single-source-language query into multi-language search queries automatically, adjusting the language parameter without user intervention to expand search coverage.
2Productivity
If the system searches only in the source language, then search processing is faster and simpler, but cross-language information accessibility is reduced
Solution Approach 1:
The search engine performs multiple search functions simultaneously by querying both the source language and automatically selected target languages. This multi-functional approach allows a single query to retrieve information from multiple language corpora, expanding information access while maintaining processing efficiency through automated parallel execution.
Solution Approach 2:
The system performs preliminary language detection and selection before executing the search. By analyzing query terms and pre-identifying relevant target languages, the system prepares the search strategy in advance, enabling efficient multi-language search without delaying the overall processing time.
3Ease of operation
If automatic language selection is implemented, then cross-language search accessibility is improved, but computing resources are consumed for translation and multiple searches
Solution Approach 1:
The system performs partial translation and search operations only for languages that are deemed relevant based on query term analysis. Instead of translating and searching all possible languages, it selectively processes only the top N most relevant target languages, reducing computing resource consumption while maintaining adequate cross-language search coverage.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross-language information retrieval. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving a query in a source language, the query including one or more query terms; automatically determining one or more target languages relevant to the query; translating the query into one or more translated queries in the respective one or more target languages; determining search results responsive to the respective one or more translated queries; and providing one or more of the search results.