Glyph Form Correction in Contextual Language Translation

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Solution Overview

Problem

Accurate translations of contextual based languages, such as Arabic, Chinese, and Japanese, are error-prone due to the dependence of glyph forms and meanings on contextual properties, requiring time-intensive and costly human review to understand varying linguistic rules.

Innovation Solution

A method and system that utilize glyph form tables to identify and correct glyph forms in translated text by analyzing contextual properties, comparing them to predefined tables, and replacing incorrect forms with the correct ones, enabling efficient and accurate translations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If human review is used to understand and correct varying linguistic rules in contextual based languages, then translation accuracy is improved, but time consumption and cost increase

Engineering Contradiction:
Improvetranslation accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of contextual properties (position in word, surrounding glyphs, language rules) before finalizing glyph selection. By pre-establishing the contextual framework and comparing against multiple glyph forms in advance, the system resolves linguistic rules before translation completion, eliminating the need for time-consuming human review while maintaining high accuracy

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary computational system that acts as a mediator between the source text and final translation. This intermediary analyzes contextual properties, compares multiple glyph forms, and selects the appropriate glyphs based on linguistic rules, replacing the need for human intermediaries (translators and reviewers) while maintaining translation accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If human review is used to understand and correct varying linguistic rules in contextual based languages, then translation accuracy is improved, but cost increases

Engineering Contradiction:
Improvetranslation accuracyVSAvoidcost
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The system performs self-service by automatically analyzing its own translation output for contextual correctness. The computational system independently evaluates contextual properties, compares glyph forms, and corrects errors without requiring external human review, thereby eliminating the cost associated with human translators and reviewers while maintaining high translation accuracy

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If multiple forms of glyphs are used to represent different contextual meanings, then language expressiveness is improved, but error probability in translation increases

Engineering Contradiction:
Improvelanguage expressivenessVSAvoidtranslation accuracy
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system applies local quality by selecting specific glyph forms based on their local contextual properties. Each glyph is analyzed individually according to its position in the word, surrounding glyphs, and linguistic rules, ensuring the correct form is used in each specific location. This localized analysis resolves the reliability issue while maintaining the versatility of multiple glyph forms

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent utilizes parameter changes by varying glyph selection based on changing contextual parameters (position, surrounding characters, language rules). The system dynamically adjusts glyph form selection according to these parameters, ensuring accurate representation of different contextual meanings while reducing translation errors through systematic parameter-based decision making

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9753915B2Linguistic analysis and correction
Publication Date: 2017.09.05 ADEIA MEDIA HOLDINGS INC
  • US9753915B2 patent drawing
  • US9753915B2 patent drawing
  • US9753915B2 patent drawing

AI summary

Methods, computer program products, and systems for correcting a glyph in a translated text are described. In one embodiment, the method includes identifying a first form of a first glyph in a translation text having a plurality of contextual properties and analyzing, by the processor, the first form of the first glyph with reference to one or more glyph form tables comprising a plurality of forms of the first glyph based, at least in part, on the plurality of contextual properties.