Methods and systems for splitting and reconstructing complex merged cells across pages

By parsing the table structure and constructing a grammatical dependency tree, the system identifies the row and column spanning attributes of merged cells, divides them into semantically independent fragments, and solves the problems of content fragmentation and formatting errors when complex tables span pages. This enables intelligent splitting and reconstruction in page-spanning scenarios, improving document readability and layout aesthetics.

CN122090477AActive Publication Date: 2026-05-26冠骋信息技术(苏州)有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
冠骋信息技术(苏州)有限公司
Filing Date
2026-04-23
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

When dealing with complex tables spanning multiple pages, conventional methods in existing technologies often result in content fragmentation, semantic corruption, or low page space utilization, negatively impacting the reading experience.

Method used

By parsing the table structure, identifying the row and column spanning attributes of merged cells, constructing a syntactic dependency tree, dividing semantically independent segments, and allocating text to the split cells according to semantic integrity boundaries, dynamically detecting page crossing conditions, and adopting differentiated processing strategies to maintain content coherence and page aesthetics.

Benefits of technology

It enables intelligent splitting and reconstruction of complex tables in cross-page scenarios, ensuring semantic coherence of content and aesthetically pleasing page layout, thereby improving the readability and professionalism of documents.

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Abstract

This invention relates to the field of document processing technology, and more particularly to a method and system for splitting and reconstructing complex merged cells across pages. The method parses the table structure, identifies merged cells and their coordinates, and uses a dependency tree to analyze the semantic integrity boundaries of the text within each cell, dividing the text into multiple semantically independent segments. The space requirements of each segment are calculated, and an allocation matrix is ​​established to evenly distribute them into the split cells. Page-crossing conditions are determined by detecting the table position, and whether in-line splitting is supported is determined based on the row height elasticity coefficient and content density of the page-crossing row. Then, operations such as inserting soft pagination marks or migrating rows as a whole are performed to complete the page-crossing adaptation. This invention achieves intelligent splitting and page-crossing reconstruction of merged cells, ensuring the semantic coherence of table content and the visual balance of page layout.
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