Machine Translation Using Third Language Intermediary Corpus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Machine translation systems face reduced accuracy when translating from a first language to a second language due to insufficient occurrence frequency of word pairs and inadequate parallel translation data, leading to ambiguity in selecting an appropriate translated sentence.
Innovation Solution
The system utilizes a third language corpus with more example sentences than the first and second languages, translating the first language sentence into a third language and then selecting the most accurate second language translation based on the degree of coincidence between the translated sentences, thereby improving translation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a parallel translation dictionary is searched using the first language and second language directly, then the translation process is simple, but translation accuracy is reduced due to insufficient occurrence frequency of word pairs and inadequate parallel translation data
Solution Approach 1:
The patent introduces a third language as an intermediary to bridge the gap between the first language and second language when direct translation data is insufficient. The system translates the first language to the third language, searches for matching sentences in the third language corpus, and then translates back to the second language, using the third language as a mediating resource to improve translation accuracy when direct parallel data is scarce
Solution Approach 2:
The patent expands the translation search from a two-dimensional space (first language to second language) to a three-dimensional space by introducing a third language dimension. This allows the system to search for translation equivalents through an additional linguistic dimension, finding matches that may not be apparent in direct first-language-to-second-language pairs
2Reliability
If more example sentences are stored in the database to improve translation accuracy, then translation quality improves, but the database size and storage requirements increase
Solution Approach 1:
The third language corpus serves multiple functions: it acts as a search database for finding translation equivalents, provides additional linguistic context for disambiguation, and enables translation improvement without requiring separate dedicated databases for each language pair. The same third language corpus is used to enhance translations across multiple first-language-to-second-language combinations
3Reliability
If direct translation between first language and second language is performed, then the translation process is fast, but ambiguity exists in selecting an appropriate translated sentence when multiple candidates exist
Solution Approach 1:
The third language serves as a mediating reference that helps resolve ambiguity in translation selection. When multiple translation candidates exist between the first and second languages, the system uses the third language corpus to find matching sentences that provide additional context and disambiguation, enabling more accurate selection of the appropriate translated sentence
Data Source
AI summary
A machine translation device that translates a first language sentence into a second language sentence, the machine translation device includes: a translation unit configured to translate the first language sentence or the second language sentence into a third language sentence; and a second language translated sentence output unit configured to output a second language sentence corresponding to the first language sentence using a search result obtained by searching a database that stores more example sentences of a third language than example sentences of a first language and a second language using the translated third language sentence as a search key.