Notational and Terminological Consistency

George Grätzer

Chapter 13 in ChatGPT for Math, 2026, pp 149-153 from Springer

Abstract: Abstract One of the quiet challenges of mathematical writing is maintaining consistent notation and terminology. A paper or book evolves over months or years. Over time, new symbols are introduced, older ones are redefined, terminology is adopted from multiple sources, and material from earlier drafts is merged. As a result, notation drifts. ChatGPT is remarkably effective at detecting these inconsistencies and proposing coherent, uniform alternatives.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-27286-7_13

Ordering information: This item can be ordered from
http://www.springer.com/9783032272867

DOI: 10.1007/978-3-032-27286-7_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().