Region-Matching Transducers for Corrupted Text Characterization

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Solution Overview

Problem

Existing natural language processing technologies face challenges in accurately processing corrupted language data from image-based or audio-based sources, leading to text-based errors that hinder subsequent language processing and search operations, and there is a need for improved pattern matching and indexing methods for heterogeneous document collections.

Innovation Solution

The development of region-matching transducers that apply the apply-stage replacement method to efficiently mark and index patterns in language data, allowing for efficient pattern matching and indexing, even with large numbers of names or entities, and enabling complex query formation and search within document collections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional finite-state networks are used to process corrupted language data, then basic language processing can be performed, but text-based errors from OCR or voice-to-text applications cannot be effectively corrected

Engineering Contradiction:
Improveprocessing accuracy of corrupted dataVSAvoidability to handle corrupted language data
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary error detection and correction by comparing recognized text against the finite-state network model before subsequent processing. The finite-state network encodes valid language patterns in advance, allowing the system to identify and correct errors proactively rather than reactively, improving reliability of processed data

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The finite-state network acts as an intermediary between corrupted input data and subsequent language processing applications. It mediates by filtering and correcting errors through its structured language model, enabling reliable processing of otherwise unusable corrupted text from OCR or voice-to-text sources

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of manufacture

If facilities for creating indices and queries are developed separately with different properties, then each facility can be optimized independently, but integrated complex query processing becomes difficult

Engineering Contradiction:
Improveindependent optimization of facilitiesVSAvoidintegrated query processing capability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system merges index creation and query processing facilities into a unified finite-state network framework. Both indexing and querying operations use the same network structure and transition rules, allowing integrated complex query processing while maintaining the ability to optimize the unified system independently

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The finite-state network serves multiple functions universally - it can be used for both creating indices and processing queries, as well as for error correction and language analysis. This multi-functionality eliminates the need for separate specialized facilities while maintaining optimization capabilities through the unified framework

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If region-matching transducers are applied to mark and index patterns in language data, then pattern matching efficiency improves, but system complexity increases

Engineering Contradiction:
Improvepattern matching efficiencyVSAvoidtransducer system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments pattern matching into region-matching transducers that operate on specific linguistic regions or patterns within the language data. Each transducer handles particular pattern types independently, improving matching efficiency for each region while managing overall system complexity through modular organization of specialized components

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS8510097B2Region-matching transducers for text-characterization
Publication Date: 2013.08.13 GENESEE VALLEY INNOVATIONS LLC
  • US8510097B2 patent drawing
  • US8510097B2 patent drawing
  • US8510097B2 patent drawing

AI summary

Computer methods, apparatus and articles of manufacture therefor, are disclosed for text-characterization using a finite state transducer that along each path accepts on a first side an n-gram of text-characterization (e.g., a language or a topic) and outputs on a second side a sequence of symbols identifying one or more text-characterizations from a set of text-characterizations. The finite state transducer is applied to input data. For each n-gram accepted by the finite state transducer, a frequency counter associated with the n-gram of the one or more text-characterizations in the set of text-characterizations is incremented. The input data is classified as one or more text-characterizations from the set of text-characterizations using the frequency counters associated therewith.