Multilingual Mixed Search Query Translation and Indexing
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Solution Overview
Problem
Conventional multilingual search systems face challenges with bloated architecture and hardware requirements due to full-text translation, leading to reduced search precision and increased information loss across languages.
Innovation Solution
A multilingual mixed search method that establishes separate indices for each language, translates query words into multiple languages, and extracts relevant web page information, reducing the need for full-text translation and simplifying indexing architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If full-text translation is used to establish multilingual indices, then search coverage across languages is improved, but system architecture becomes bloated and hardware requirements increase
Solution Approach 1:
The patent extracts only the essential elements needed for multilingual search by translating query words into multiple languages and establishing separate language-specific indices, rather than translating entire documents. This extraction approach maintains search coverage across languages while avoiding the bloat of full-text translation systems.
Solution Approach 2:
The system segments the search process into distinct language components, with separate indices for each language and query translation handled independently. This segmentation allows the system to manage multiple languages without requiring a monolithic full-text translation architecture, thereby reducing system complexity.
2Adaptability or versatility
If full-text translation is performed for multilingual search, then language accessibility is improved, but semantic information is lost during translation
Solution Approach 1:
The patent applies partial translation action by translating only query words into multiple languages rather than translating entire documents. This partial approach maintains language accessibility for users while preserving the original semantic information in the source language documents, avoiding the information loss inherent in full-text translation.
Solution Approach 2:
The system creates language copies of query words through translation into multiple target languages, allowing users to search in their native language while the original document semantics remain intact in their source language. This copying approach provides language accessibility without sacrificing semantic fidelity.
3Adaptability or versatility
If more documents are translated into multiple languages, then multilingual search capability is improved, but translation volume and processing time increase
Solution Approach 1:
The patent extracts only the query words that need translation rather than translating entire documents. This extraction dramatically reduces the translation volume from full-document scale to query-word scale, improving productivity while maintaining multilingual search capability.
Solution Approach 2:
The system performs partial translation of only the necessary query words rather than excessive full-document translation. This partial action approach achieves the required multilingual search capability with minimal translation processing, thereby improving system productivity.
Data Source
AI summary
Embodiments of the present application relate to a multilingual mixed search method, a system for multilingual mixed searching, and a computer program product for multilingual mixed searching. A multilingual mixed searching method is provided. The method includes receiving a query word entered by a user and identifying source language of the query word, translating the query word from the source language to query words of a plurality of target languages, the plurality of target languages being different than the source language, using the query word in a corresponding target language as a basis for searching an index of web page information corresponding to the corresponding target language and obtaining web page information in the corresponding target language, from the web page information obtained from the index corresponding to the corresponding target language, and translating the obtained web page information from the corresponding target language to the source language.