Polyseme Processor for Ambiguous Translation Output
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Solution Overview
Problem
Automatic translation systems often fail to accurately convey the intended meaning of polysemes, leading to misunderstandings between speakers of different languages, as the translated words may have multiple meanings in the target language that are not understood by the recipient.
Innovation Solution
A translation device and method that include a polyseme processor to identify polysemes in the source language and provide multiple candidate meanings in the target language, allowing the user to select the intended meaning, thereby reducing the risk of miscommunication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If automatic translation is performed from first language to second language, then translation speed is improved, but translation accuracy deteriorates due to polyseme ambiguity
Solution Approach 1:
The translation process is segmented into multiple stages: initial automatic translation, polyseme detection, candidate meaning generation, and user selection. This segmentation allows the system to maintain fast automatic translation while adding accuracy-improving steps only where needed (at polysemes), rather than slowing down the entire translation process.
Solution Approach 2:
The polyseme processor acts as an intermediary component between the automatic translation system and the user. It detects polysemes in the translation result, generates candidate meanings by translating back to the first language, and presents these candidates to the user for selection, thereby mediating between machine translation speed and human understanding accuracy.
2Measurement precision
If multiple translation words are provided for polysemes, then translation accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses the translation device itself to generate candidate meanings by translating the second language word back to the first language using the same translation engine. This self-service approach avoids needing external databases or additional complex components to provide candidate meanings, reducing overall system complexity while maintaining accuracy.
Solution Approach 2:
The translation device performs multiple functions: it translates from first language to second language, detects polysemes in the translation result, generates candidate meanings by reverse translation, and presents options to the user. This multi-functionality is achieved within a single integrated system rather than requiring separate specialized components for each function.
3Reliability
If polyseme detection and candidate meaning generation are added, then communication reliability is improved, but processing time increases
Solution Approach 1:
The system applies polyseme detection and candidate meaning generation only partially - specifically only to words that are identified as polysemes in the translation result, rather than processing every word in the translation. This selective approach improves communication reliability for ambiguous words while minimizing the additional processing time required.
Data Source
AI summary
A translation device is configured to translate from a first language into a second language and includes a first language acquisition unit, a polyseme processor, and a first language output unit. The first language acquisition unit acquires a sentence in the first language. The polyseme processor determines whether or not a word in the second language for a word in the first language included in the sentence is a polyseme, and acquires a plurality of candidate meanings for the word in the second language when the word in the second language is determined as a polyseme. The first language output unit outputs the plurality of candidate meanings.