Author Name Parsing in Non-Standardized Text
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Solution Overview
Problem
Existing systems for formatting bibliographic references in scholarly literature struggle to accurately identify and parse author name groups, especially when errors in punctuation and capitalization are present, leading to non-standardized outputs that require laborious manual checking.
Innovation Solution
A computer-based method and system that electronically scans documents to identify and parse author name text strings, using pattern recognition and markup languages like XML to correct errors and output author names in standardized format, handling various editorial styles and errors in punctuation and capitalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic formatting systems are used to format bibliographic references, then formatting speed is improved, but accuracy of parsing author name groups deteriorates when errors exist in the presentation
Solution Approach 1:
The system performs preliminary scanning and identification of potential author name groups before parsing. It uses pattern recognition to identify character sequences that likely represent author names, allowing the parser to focus on accurate parsing of identified segments rather than attempting to parse all text uniformly, thus maintaining both speed and accuracy.
Solution Approach 2:
The author name parsing process is segmented into distinct phases: scanning for potential author name groups, identifying character sequences based on patterns (title-case words, capital letters, punctuation), and then parsing each identified sequence separately. This segmentation allows the system to handle errors in specific segments without compromising the entire formatting process.
2Measurement precision
If manual formatting of bibliographic references is performed, then accuracy of parsed components is improved, but time consumption increases
Solution Approach 1:
The system performs self-service by automatically scanning, identifying, and parsing author name groups without requiring manual intervention. The pattern recognition and parsing algorithms enable the system to correct errors and standardize formats autonomously, eliminating the need for manual checking while maintaining accuracy.
Solution Approach 2:
The manual mechanical process of reading, identifying, and formatting author names by hand is replaced with an automated computer-based system that uses pattern recognition algorithms and parsing modules. This substitution eliminates manual labor while maintaining or improving accuracy through systematic algorithmic processing.
3Extent of automation
If prior art automatic formatting systems are used, then formatting process is automated, but ability to handle non-standardized formats deteriorates
Solution Approach 1:
The system adapts to non-standardized formats by dynamically adjusting parsing parameters and patterns. It can recognize and handle variations in punctuation, capitalization, and spacing by modifying its pattern recognition rules, allowing the automated system to process diverse author name formats without requiring manual intervention for each variant.
Solution Approach 2:
The scanning and parsing system is designed with universal capabilities to handle multiple formats and error types. The pattern recognition module can identify author name groups in various standardized and non-standardized formats, making the automated system versatile enough to process diverse input without requiring separate specialized processing for each format type.
Data Source
AI summary
The present invention is directed to a method and corresponding system for parsing author name text strings in documents. The method and system may electronically scan a document that contains an author name text string comprising a set of initials, one or more author surnames, and punctuation. The author name text string may be in non-standardized format. The method and system may identify a character sequence in the document as potentially being the author name test string based on (i) a sequence of title-case words, capital letter, and punctuation, and (ii) the character sequence ending with a recognized indicator. The method and system may parse the identified character sequence by converting any punctuation and whitespace between terms in the character sequence to a single space character, identifying a pattern of surname and set of initials comprising each author name contained in the character sequence, and marking up the components of surname and set of initials comprising each author name. The method and system may use the marked up character sequence to identify and correct errors in punctuation and capitalization in the character sequence, and output an updated character sequence in standardized format.