Academic publisher Taylor & Francis has implemented new copyediting technology to support faster publication speed across its portfolio of 2500 academic journals.
'Contextualized Copyediting' uses artificial intelligence and natural language processing to assess and score the language quality of articles accepted into Taylor & Francis journals, so that they can be routed to an appropriate level of copyediting. The goal is to eliminate unnecessary production time on articles that don't need editing.
Research carried out by Taylor & Francis's author services partner Editage has shown that the biggest improvement journal publishers can make to the author experience is to reduce the time it takes for articles to get published.
Taylor & Francis journals have renewed partnerships with three vendors to support its Contextualized Copyediting program: Integra Software Services, Cenveo Publisher Services, and NovaTechset. The suppliers were selected based on the innovation they demonstrated in applying language analysis technology at appropriate points in the prepress workflow.
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