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.