AI Language Conversion Device Context-Aware Word Scoring
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Solution Overview
Problem
Current language conversion methods using artificial intelligence face challenges in providing accurate and efficient conversions, as users need to query individual words or translate entire sentences, leading to complex operations and poor user experiences due to incorrect word order or sentence patterns.
Innovation Solution
A language conversion method based on AI that receives a sentence to be converted, determines candidate words for the original language word using a preset rule, calculates scores for each candidate word, and selects the most appropriate target word, thereby simplifying user operations and improving conversion efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user queries individual words with a dictionary, then the user can obtain multiple different words, but the user needs to identify which one is most consistent with the context, leading to complex operations
Solution Approach 1:
The system automatically determines the most appropriate target word by calculating scores based on context, eliminating the need for users to manually compare multiple dictionary options. The language conversion device performs self-service by autonomously selecting the best word match.
Solution Approach 2:
The patent replaces the manual mechanical process of dictionary querying and word comparison with an automated computational system that calculates scores and determines the optimal word translation automatically.
2Productivity
If the user translates the whole sentence with a machine translation tool, then the translation is provided directly, but the result contains defects such as incorrect word order or sentence pattern, requiring user optimization
Solution Approach 1:
The patent segments the translation process into word-level operations, determining candidate words and scores for each original language word individually while maintaining context awareness. This allows precise control over each word's translation while preserving overall sentence meaning.
Solution Approach 2:
The system uses context information from the entire sentence as feedback to evaluate and score individual word candidates, ensuring that selected words are consistent with the overall sentence meaning and structure.
3Reliability
If traditional language conversion methods are used, then users can obtain translation results, but the conversion process involves complex operations and low efficiency
Solution Approach 1:
The system performs preliminary actions by pre-determining candidate words and their context-based scores before final selection. This structured approach ensures accurate results while streamlining the conversion process for higher efficiency.
4Measurement precision
If manual word identification is performed, then the user can select the most consistent word, but the process requires significant user time and effort
Solution Approach 1:
The language conversion device performs self-service by automatically identifying and selecting the most appropriate target word based on context analysis, eliminating the time-consuming manual identification process while maintaining high accuracy.
Data Source
AI summary
Provided are a language conversion method and device based on artificial intelligence, and a terminal. The language conversion method includes: receiving a language conversion request, wherein the language conversion request comprises a sentence to be converted, and the sentence to be converted comprises an original language word and a target language word; determining a plurality of candidate words each corresponding to the original language word according to a preset rule; determining a score of each of the plurality of candidate words when used in the sentence to be converted; and determining a target word corresponding to the original language word according to the score of each of the plurality of candidate words.