The phrase "automated written" is not correct and does not convey a clear meaning in written English.
It may be intended to describe something that is both automated and written, but the phrasing is awkward and unclear.
Example: "The automated written report generated by the software was sent to all team members."
Alternatives: "automated documentation" or "automated text".
In the US automated writing technology was partly developed by artificial intelligence specialists at Northwestern University in Illinois.
Let's apply the same standard to today's leading automated writing companies that base their technologies on natural language generation.
Automated Writing Evaluation (AWE systems are built by extracting features from a 30 min essay and using a statistical model that weights those features to optimally predict human scores on the 30 min essays.
Automated writing will soon be showing what it can really do, when it merges with another technological advance: individual tracking of billions of consumers, thanks to their purchases, internet browsing habits, mobile communications and such.
Automated writing evaluation (AWE) is a popular form of educational technology designed to supplement writing instruction and feedback, yet research on the effectiveness of AWE has observed mixed findings.
But it's not the same task as the many other tasks that involve writing: Writing this opinion piece, responding to it with a rejection (not this time!), writing a mildly threatening letter to a contractor that loused up your kitchen, etc. Can the even-hotter AI technology of machine learning be the impetus needed to accelerate new applications of automated writing?
Due to the use of different typing strategies and to the heterogeneity of the data sources, the data included in this study were submitted to automated scripts written in GNU/Linux shell bash to check for the latest updates and changes in the official WHO HLA Nomenclature (e.g. allele renaming, deletion and/or extension from 5 digits to 6 digits adopted in 2002).
Because the population data used in this study were genotyped during a time span of several years and with different typing protocols, we used automated scripts written in GNU/Linux shell bash to process HLA allele sequences at each possible level of resolution (e.g. HLA-A*01, A*0101, A*010101 and A*01010101).
Colocalization analysis was done with automated custom written routines in MATLAB.
All imaging was accomplished using custom automated software written using MATLAB and Micro-Manager (Edelstein et al., 2010).
