Cluj, Romania

Viorel Daniel Sârbe


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Viorel Daniel Sârbe: Innovator in Translation Technology

Introduction

Viorel Daniel Sârbe is a notable inventor based in Cluj, Romania. He has made significant contributions to the field of translation technology, particularly through his innovative patent that leverages neural networks for translation evaluation. His work aims to enhance the accuracy and reliability of translations in various contexts.

Latest Patents

Viorel Daniel Sârbe holds a patent for a method and system titled "Translation review suitability assessment." This computer-implemented method utilizes a trained neural network to evaluate translations. The inputs to the neural network include source content, translated content, and identifiers for both source and target languages. Additional inputs can encompass translation origin identifiers, file types, translator identifiers, customer identifiers, and content domain identifiers. The neural network's output indicates whether the translation is correct or incorrect. Feedback from reviewers or translators can be used to further train the evaluation neural network, enhancing its effectiveness over time.

Career Highlights

Viorel is currently employed at SDL Inc., where he applies his expertise in translation technology. His work at SDL Inc. allows him to collaborate with other professionals in the field, contributing to advancements in translation systems and methodologies.

Collaborations

Viorel has worked alongside notable colleagues such as Erik De Vrieze and Giovanni Gallo. Their collaborative efforts have fostered innovation and development in translation technologies, furthering the impact of their work in the industry.

Conclusion

Viorel Daniel Sârbe is a pioneering inventor whose work in translation technology exemplifies the integration of advanced neural networks in practical applications. His contributions are shaping the future of translation evaluation, making significant strides in the accuracy and efficiency of language translation processes.

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