Deniro MT - The First Local Neural Machine Translation Tool
Optimal data security
is ensured as your data never leaves your computer and is translated locally. Deniro MT is capable of operating entirely OFFLINE.
Increased productivity
arises from the translator's role being primarily to review the translation.
No violation of NDAs
which mandate avoiding the use of server-based translation engines (such as Google Translate, DeepL, Phrase, etc.).
Integration in trados studio
The translation engine supports the translation process locally, providing various translation options for each segment.
Improved Accuracy
NMT systems can produce more accurate translations than traditional methods, as they better understand context, idiomatic expressions, and complex sentence structures. This leads to translations that are closer to what a human translator would produce. Generally, the precision of the models hinges on the training dataset utilized. Therefore, we meticulously prepare the various bilingual documents involved.
Fluency and Coherence
Translations generated by NMT tend to be more fluent and coherent. The system's ability to translate whole sentences or even paragraphs at once, rather than piece by piece, contributes to maintaining the flow and meaning of the original text.
Handling of Unknown Words
NMT systems are better at dealing with words they haven't seen before, using the context around these words to make educated guesses about their meaning. This capability is especially useful in translating novel terms or names.
Scalability
Given the right computational resources, NMT can easily be scaled to accommodate large volumes of text and multiple languages, making it suitable for applications requiring quick turnaround times and handling diverse linguistic content.
Continuous Learning and Improvement
NMT models can continue learning from new data, meaning they can improve over time. As more translated texts become available, these models can refine their understanding and accuracy.
Cost efficiency
While NMT systems require significant computational resources for training, they can translate vast amounts of text quickly once deployed, offering a cost-effective solution for large-scale translation needs compared to human translation services.
Reduced local storage needs
A single language pair may need up to a maximum of 3 GB. These advantages make neural machine translation a powerful tool for global communication, content localization, and bridging language barriers in many sectors, including military, business, healthcare, and education.
