Technologies Involved:
JAVA
PHP
saas
Project Description

Transleqo is a cutting-edge platform that aims to redefine the translation process by offering advanced linguistic solutions for businesses and individuals. Transleqo provides accurate and efficient translation services across a wide range of source. When approaching Oodles, they required the implementation of a robust translation system. Oodles delivered by installing Matcat, training translation models, and integrating Quality Assurance tools.

Scope Of Work

Our goal for the Transleqo project is to implement a cutting-edge translation system that will transform the way translations are conducted. The scope of work includes installing Matcat, a powerful machine translation tool, and training the model to effectively translate content in various languages. Additionally, we will integrate a Quality Assurance and Testing (QAT) tool to ensure the accuracy and quality of translations. The entire application will be hosted on AWS, providing scalability, reliability, and security for Transleqo's platform. 

Our Solution

Our solution combines the latest advancements in machine learning, web development, and cloud hosting to deliver a seamless and efficient translation experience for Transleqo's users. Our solution for the Transleqo project involves the following services and technologies:

  • Installed Matcat, a powerful machine translation tool, as the core component of the translation system. Matcat leverages advanced machine-learning algorithms to provide accurate and efficient translations.
  • Trained the Matcat model to effectively translate content in various languages. 
  • Integrated a Quality Assurance and Testing (QAT) tool into the translation system. This tool will perform thorough checks on the translated content, ensuring accuracy, coherence, and adherence to grammar and language rules.
  • Hosted the entire application on AWS, leveraging its robust infrastructure for scalability, reliability, and security. 
  • Employed web development technologies such as Java and PHP to build a user-friendly and intuitive interface for Transleqo's platform. 
  • Harnessed the power of machine learning, to improve the translation system's accuracy and performance over time. 

 

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