The phrase "auto generator" is correct and usable in written English.
It can be used to refer to a device or software that automatically generates something, such as code, content, or data.
Example: "The new software includes an auto generator that creates reports based on user input."
Alternatives: "automatic generator" or "self-generating tool".
The list, seemingly compiled by an auto-generator of police cliches, included frequenting donut stores that gave them a discount and going to Irish bars.
The ice-breaking question auto-generator is a cool feature, but Twine is going to have to offer more incentives.
Various applications of equation (1.1) and its generalizations can be found, for example, in the theory of self-excited oscillations, in oscillation processes in a vacuum tube, in dynamics of an auto-generator, in description of processes of in-feed grinding and cutting (see [1]); on position control in mechanical engineering, on electromechanical systems, and on combustion engines [2].
"...The name and message auto-generator on our South Africa "Share A Coke" website would not accept the word "Gay", but did accept the word "Straight".
Specifically, the name and message auto-generator on our South Africa "Share A Coke" website would not accept the word "Gay", but did accept the word "Straight".
In addition, the question generators auto-generated different types of questions using different ontology-based generation strategies.
Al-Yahya (2014 2011) also built a question generator for auto-generating true and false, multiple choice, and short answer questions using class-based and property-based strategies.
Ontologies have been used by several ontology-based question generators to auto-generate true and false, multiple choice, and short answer assessment questions.
In addition, the computational mesh generated an auto-mesh generator, which was able to produce a computational mesh based on the given parameters, such as cup depth and Beizer curve definitions.
Several ontology-based question generators used ontologies to auto-generate questions, which aimed to assess students' at different levels in Bloom's taxonomy.
The ontology-based question generators discussed above evaluated the auto-generated questions.
