Language-Processing Virtual Machine for Text Disambiguation

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Solution Overview

Problem

Natural language processing technologies face challenges in accurately interpreting and disambiguating meanings of words in text, leading to inefficiencies and inaccuracies in automated text analysis.

Innovation Solution

The development of a language-processing virtual machine that utilizes transducers to process language-space data structures, allowing for dynamic code execution and disambiguation of word meanings based on linguistic constraints expressed in source code.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional natural language processing algorithms are used to interpret text, then the system can process general text, but the accuracy of word meaning disambiguation deteriorates due to multiple possible meanings

Engineering Contradiction:

Improveword meaning disambiguation accuracyVSAvoidinterpretation correctness

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent segments the natural language processing task into distinct phases: initial parsing to generate language space data structures, transducer-based disambiguation processing, and final interpretation. This segmentation allows each component to specialize in specific aspects of the problem, with the transducer focusing specifically on resolving word meaning ambiguities by selecting from multiple possible meanings based on contextual constraints.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces transducers as intermediary components between the raw text and the final interpretation. These transducers act as mediators that process language-space data structures and apply linguistic constraints to resolve ambiguities. The transducer serves as a bridge that transforms ambiguous parsed data into disambiguated representations before final interpretation occurs.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If computationally intensive algorithms are used to decipher ambiguous sentences, then the accuracy of interpretation improves, but the processing speed deteriorates

Engineering Contradiction:

Improveinterpretation accuracyVSAvoidtext processing speed

Core Design Contradiction:

Measurement precisionVSSpeed

Solution Approach 1:

The patent performs preliminary parsing to generate language space data structures before the disambiguation phase. This preliminary action organizes the text into structured representations with associated descriptors and constraints, preparing the data in advance for more efficient transducer processing. By pre-structuring the data, the system avoids redundant computations during the actual disambiguation phase.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms the processing approach by changing parameters from general-purpose computational algorithms to specialized transducer-based processing. The transducer uses predefined linguistic constraints and rules as fixed parameters, converting a flexible but slow algorithmic approach into a more constrained but faster processing mechanism that operates on the structured language space data.

Inventive Principle:

Principle #35Parameter changes

3Speed

If simple parsing algorithms are used, then the processing speed improves, but the ability to correctly interpret ambiguous text deteriorates

Engineering Contradiction:

Improveprocessing speedVSAvoidword meaning disambiguation accuracy

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The patent segments the processing into two distinct stages: a faster initial parsing stage that generates language space data structures, followed by a specialized disambiguation stage using transducers. This segmentation allows the system to maintain high speed in the initial processing while dedicating specific resources to accuracy-critical disambiguation tasks.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The transducer acts as an intermediary that enhances the capabilities of simple parsing without requiring the entire system to be computationally intensive. By inserting this specialized component between parsing and interpretation, the system gains advanced disambiguation capabilities while maintaining the speed advantages of simpler initial parsing algorithms.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12333245B2Methods and apparatus to improve disambiguation and interpretation in automated text analysis using structured language space and transducers applied on automatons

Publication Date: 2025.06.17 CLOVER AI LLC

AI summary

Methods and apparatus for automated processing of natural language text is described. Received text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic constraints, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that are used by a language-processing virtual machine to process the language-space data. The language-processing virtual machine selects and executes code segments in accordance with path transitions of the transducers when applied on automatons to disambiguate meanings of words in the received text.