Screenshot of Curie using artificial intelligence for editing manuscripts

A Leading k12 Publisher Uses MPS Lab' AI Services to Make Publication Faster

Book a Demo

Client Details

 

As one of the leading educational publishing companies, this client is a renowned educational publisher and specializes in creating and delivering high-quality educational content, and offering services to students and educators at all levels of education, from pre-K through postgraduate studies.

 

Project Overview

 

Client had designed a math program of advance equity to help students build enduring math knowledge. The student edition contained files with multiple editing as student’s response. The request is to make 20,000+ pages of content accessible in a short turnaround time of 3 months.

  • 20,000+

    Pages of Content

  • 1 mn+

    ALT texts authored

  • 35%

    reduction in production time

Scope Of Work
  • Generate Actual text for math equations, and images
  • Understand the content provided and contextually review and assess content for adherence to DEi principles and check for grammar errors
  • Automated structuring of XML data based on contextual decisions
  • Generation of TOC, Summary, Assessments,Learning Objectives etc.
Our Approach

 

  • Using NLP, Transformers, and LLM’s to understand the content and check for grammar and DEi errors
  • Employing advanced techniques like NLP and CNN for the automated structuring of XML data based on contextual decisions
  • ML-based automated Image processing Utilizing Python’s potent libraries such as PIL, OpenCV, and Tesseract to perform diverse image processing tasks
  • Al-based content generation for images, math equations
  • By combining Natural Language Understanding (NLU) specifically tailored for MathML with transformer-based models for text generation, this method aims to produce detailed Actual text that effectively interprets mathematical equations
  • Understand the content supplied and Generate Summary, Learning Objective, and Assessments which is then reviewed by SME’s by using OpenSource LLM, Lang Chain and RAG Architecture

 

Results

 

35%

Reduction in production time

50%

Reduced human intervention

$28,000

Saved

40%

Accessibility and DEI compliant content, increasing reach

Download Factsheet    Contact Us