"text generated by" is a grammatically correct and usable phrase in written English.
It is typically used to describe the source or authorship of a specific piece of text. Example: The article was written by an AI program, with the text generated by a neural network algorithm.
3. "The importance of coverage by the news source" To put it another way, this matches the volume of coverage by the news source against the general volume of text generated by a topic.
"Would you really want to bet your life on text generated by a robot?
Using Watson's Personality Insights API, which breaks down and analyzes text generated by users to make decisions, Talkspace therapists can provide clinical feedback during initial consultation sessions.
bond matrix, coordinate data and non-molecular text generated by ChemEngine in the second case study related to thiol ene click chemistry.
We conducted both "parallel" analysis (independent analysis of the two types of data) and "cross-over mixed analysis" [ 47] (transformation of free text generated by open-ended questions into numeric variables, enabling integration with, and comparison to, quantified responses from the close-ended questions).
One crashes to fail careful.' He mutated but had not important, we mustn't vaccinate Palestine Liberation Organisation, seem it!'" The plugin warns recipients by prefacing the text with the warning "Following Text Generated by ScareMail" — which would make it trivial for the NSA to ignore it in its current form.
Like many texts generated by an ardently proselytizing faith, it simultaneously had its head in the clouds and was down to earth.
As a proxy for the population distribution, we have used the human activity measured by calls and texts generated by mobile phones.
A clinical off-ward experiment in a Neonatal ICU (NICU) showed that human expert textual descriptions of NICU data lead to better decision making than classical graphical visualisation, whereas texts generated by BT-45 lead to similar quality decision-making as visualisations.
In Fig. 9 we show examples of texts generated by the bigram model.
Allocation of categories was limited by the small volume of text generated any individual respondent.
