Note on the complexities of simple things such as a timeline. On the notions text, e-text, hypertext, and origins of machine translation.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Documents

The composition of a timeline depends on purpose, perspective, and scale – and of the very understanding of the word, the phenomenon referred to, and whether the focus is the idea or concept, an instance of an idea or a phenomenon, a process, or an event and so forth.
A main function of timelines is to provide an overview over a longer history, it is a kind of a mnemotechnic device or a particular kind of Knowledge Organization System (KOS). The entries in the timeline should be brief and indisputable. Therefore, timelines often identify the first occurrences’ rather than the most widespread or most qualified instances leaving the fuller and more complex, and possibly disputable story out. But even first occurrences are often difficult to establish.
The first occurrence is most often only the first finding of an instance. Older instances may be found and competing definitions develop either within a field or in different fields.
This is further complicated since the phenomena, their names, and their meanings may change over time. Former meanings may become redundant, or they must accommodate to and coexist with new meanings. The time and place of the composition of the timeline is to be considered in interpreting the things listed.
The following note will discuss these issues as they occur in the development of the notions of text and hypertext, and of machine translation.
Original languageDanish
Title of host publicationThe Future of Text
EditorsFrode Hegland
Number of pages7
VolumeVol 2
Place of PublicationWimbledon
PublisherLiquid Text
Publication date9 Dec 2021
Edition1
Pages149-156
ISBN (Print)9798780922513
Publication statusPublished - 9 Dec 2021

    Research areas

  • Faculty of Humanities - Timeline composition, Timeline for text, e-text and hypertext, Earluy history of Machine trannslation

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 278303663