An Analysis of Platforms for Scholarly Publication

In the journal publishing world, there involves various text processing tasks such as copyediting or revision. Modern text processing technologies, and in particular the kinds of techniques developed in natural language processing and language technology, make it possible to automate some of these editing and revision tasks that are currently performed by authors and editors. However, it is difficult for these technologies to fit well with the variety of different text processing platforms and wolkflows of publishing process. The aim of this paper is to help us understand the range of ways in which authors and publishers are currently work and tools that they use, then to identify what kinds of integration would be likely to be most successful. We summarise a general editorial workflow from a web observation. We also conduct a survey to gather information of production process in which relevant data is hard to find. Base on the 98 responses from the survey, we outline 3 most common production workflows. For each workflow, as well as the editorial workflow, we finally indicate the target audience and some possible automated editing assistance which might be introduced to them.