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When iOS 5 introduced text expansion – type a few predetermined letters, and it will expand them to a whole phrase or sentence – the task of replying to people who are having problems with their Twitter account eased at once.
Most code generators are based on templates, which are fundamentally composed of text expansion statements.
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Martinec and Salway (2005) system for image text logico semantic relations is based on Halliday and Hasan's (1976) three main sub-types of expansion in texts: elaboration, in the case when a mode (image) clarified the other (text), extension, if images added information to texts, and enhancement, if images prompted information such as how, when, where, or why the text was taking place.
(B) Prediction of compressional wave velocity (Vp) as a function of the initial damage parameter D0 the relationship between D0 and Vp shows a moderate correlation with high initial damage parameter but becomes quite clouded in those samples with a very small calculated D0 (see text for further expansion on this relationship).
This text underwent numerous expansions and revisions throughout Antiquity and the Middle Ages, containing many dubious stories, and was translated into numerous languages.
The system includes concept expansion module, text generation module and content replacement module.
While the approach of processing encrypted data presents a concrete privacy protection for the users, it also introduces performance drawbacks compared to the version with plain text due to data expansion after encryption and expensive operations on the encrypted data.
The estimation of odds ratios reported elsewhere in the text also included the expansion of categorical sex, age group, and zone variables (xi: logit), with clustering and CIs of variance.
The 'ear' query is a quite clear example of how extra text sources and query expansion can improve the search results, as the top 10 results all retrieve correct variations, and the precision stays above all the other scenarios for all but one recall level.
This step includes term normalisation, term expansion and separating the words in the text.
It is constructed around seven basic propositions, numbered by the natural numbers 1-7, with all other paragraphs in the text numbered by decimal expansions so that, e.g., paragraph 1.1 is (supposed to be) a further elaboration on proposition 1, 1.22 is an elaboration of 1.2, and so on.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com