iNLP
Leverage AI-driven language quality assessment. Improve productivity of editorial staff by 100%
Compress publishers’ copyediting costs by 40% with the help of intelligent language quality assessment in manuscripts
Enable context-based language quality assessment
For publishers, screening manuscripts is a time-consuming and labor intensive process. Journal publishers frequently face slowdowns in their editorial workflows while assessing the language quality of manuscripts, which is a critical step in the pre-screening process. iNLP is a cutting-edge, AI-powered language and editing engine that offers much-needed superpowers to authors and editorial staff, in academic publishing. This intelligent product helps them in assessing the language quality and guides them to correct the language based on the context. With iNLP publishers can now reduce response time from months to just a few minutes.
Looking to accelerate your language quality assessment process?
Our customized demo reveals how you can address your unique workflows and tackle challenges.
Key Features
In-depth Analysis
Easy identification of complex grammatical errors
Intelligent Recommendations
Contextual language recommendations for flow and consistency
Highly Configurable
On-demand customization to address unique business needs
Efficient and Scalable
Superior scalability to screen manuscripts within minutes
Focus on author’s intent
Authentic retention of author’s style of writing
Fully Automated
Automates workflows to reduce manual intervention downstream
Product Highlights
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Pages processed
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Journals Processed
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Concurrent users
Key Benefits
iNLP tool accelerates the language quality assessment and editorial workflows for scholarly publishers.
Accelerated time-to-market
100% increase in editorial productivity
30% improvement in production TAT
Seamless integration with manuscript submission platforms
Up to 40% cost savings in copyediting
On-demand scalability to handle large volumes of manuscripts
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