Case study

Natural Language Processing (NLP) based rapid content production solutions for a scholarly publisher

The magnitude of science-based discoveries is continuing to amaze us and has been one of the key drivers to the world’s progress in the past couple of centuries. The core purpose of all scholarly research work undertaken globally is to disseminate knowledge to benefit the world as a whole.
Since the first journal was published 350 years ago, journal publishers have taken a significant role in evaluating research papers through peer review, making articles publication-ready, and distributing to a large audience.


Accelerating journal production workflow through future-ready technology solutions

One of the world’s largest journal publishers identified the need to reorganize their article production workflows to handle an increasing volume of research submissions and achieve a rapid publication speed from manuscript acceptance to publishing.

achieving rapid publication cycle 

NLP-based content production workflow solutions for scholarly articles publishing


Increased investments in research and development (R&D) across the world have increased the volume of research findings sent for publication.

The speed of growth in research output submitted for publication has strained commercial journal publishers’ abilities to handle the volume and cost pressures in a market that has begun to push back on increasing prices. The Open Access movement gained widespread acceptance, and traditional publishers needed to differentiate themselves from the crowd.

Integra’s customer needed a partner who could offer a technology-first content production framework, achieving a high level of automation to improve journal articles’ speed-of-publication.


Natural Language Processing, Artificial Intelligence, and Robotic Process Automation capture every industry’s fancy and are fast becoming a reality in applications.

Integra closely collaborated with the publisher to find opportunities for interventions using these emerging technologies and build future-ready platforms that can support the business goals.

Integra’s team of subject matter experts, technology specialists, and solution architects, created a solution framework that can deploy technology interventions from article acceptance to publication stages.

Through in-house R&D and development teams, we implemented an Auto Manuscript Structuring SystemNLP-based Automated Manuscript Assessment Service and Copyediting System, and an AI-capable Resource Management Platform to manage peer review and copyediting processes.


Through these implementations, we supported the publisher’s vision in achieving the following objectives:

  • Accelerated decision making on copyediting intervention

  • Efficient resource management and tracking of copyediting resources

  • Cost saving up to 30% in copyediting

  • Rapid turn-around time in the content production stage.

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