NCERT entrusted us with the ambitious task of translating their computer science textbooks for classes 6th-12th into Hindi and Gujarati within a stringent 30-day deadline. This project typically required 90 days. Leveraging our innovative AI translation tool combined with human expertise, we created a hybrid model known as MTPE (Machine Translation Post-Editing). This approach provided the speed of AI, the cost-efficiency of automation, and the accuracy of human translation, resulting in a successful and timely delivery.

Introduction

The National Council of Educational Research and Training (NCERT) needed to translate their computer science textbooks for classes 6th-12th into Hindi and Gujarati. These textbooks are essential for students across India, and the translations needed to be accurate and completed swiftly. Given the volume and complexity of the content, the project was a significant challenge.

The Challenge

The project presented several challenges:

Tight Deadline: Completing the translation of multiple textbooks in just 30 days, a task typically requiring 90 days.
Accuracy: Ensuring high accuracy and quality in the translations, as educational content must be precise and clear.
Volume: Handling a large volume of technical content efficiently.
Language Complexity: Managing the nuances of translating computer science terminology into Hindi and Gujarati.

The Solution

To meet NCERT's demanding requirements, we implemented a strategic and innovative approach:

1. Initial Assessment:

Project Scope: Defined the scope and specific requirements, including the tight deadline and quality standards.
d a team of experienced translators and subject matter experts in computer science.

2. AI Translation Tool Development:

AI Tool Development: Utilized our in-development AI translation tool to handle the bulk of the translation work.
Client Demo: Presented a demo of the AI tool to NCERT, receiving their approval and confidence in our approach.

3. Hybrid Translation Model (MTPE):

MTPE Process: Implemented a hybrid model combining Machine Translation Post-Editing (MTPE). The AI tool performed the initial translation, followed by human editors refining the content.
Quality Assurance: Ensured human translators reviewed and edited the AI-generated translations for accuracy and clarity.

4. Efficient Workflow:

Parallel Processing: Organized the workflow to allow simultaneous processing of different chapters and books, maximizing efficiency.
Continuous Feedback: Maintained continuous communication with NCERT to incorporate their feedback and ensure satisfaction.

The Results

The project was a resounding success, leading to several positive outcomes:

Timely Delivery: Completed the translation of all textbooks within the 30-day deadline, meeting NCERT’s urgent requirement.
High-Quality Translations: Delivered accurate and high-quality translations that met educational standards.
Cost Efficiency: Provided a cost-effective solution through the use of AI, reducing overall translation costs.
Client Satisfaction: Received positive feedback from NCERT, highlighting the effectiveness and efficiency of the MTPE model.

Key Metrics:

Project Scope: Translation of computer science textbooks for classes 6th-12th into Hindi and Gujarati.
Languages Covered: Hindi and Gujarati.
Client Feedback: Positive response, noting the high quality and timely delivery of the translations.
Project Duration: Successfully completed in 30 days, typically a 90-day project.

Conclusion

This project demonstrated our ability to innovate and deliver high-quality translations under tight deadlines. By leveraging a hybrid model of AI and human expertise, we provided NCERT with a solution that balanced speed, cost, and accuracy, ensuring the educational content was translated effectively and efficiently.

Call to Action

Facing tight deadlines and high-volume translation needs? Contact us today to see how our hybrid AI-human translation model can help you achieve your goals efficiently and cost-effectively.

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