Machine Translation Service

Machine translation is a quick and cost-effective method of automating translations. Traditional machine translation uses rule-based or probabilistic machine learning methods to translate text from one language to another. Today’s era of modern machine translation runs on Neural Machine Translation (NMT). This system relies primarily on neural networks, which are a type of deep learning architecture, to learn the mapping between input and output languages.

NMT models have shown remarkable success in capturing complex linguistic patterns and dependencies. These networks have been a huge leap in the advancement of machine translation, thanks to their ability to capture contextual information and relationships between words in a sentence and improve (self-learn) each time post-edits are made (Human-in-the-loop).

This technology enables machine translation customization through a process called fine-tuning or domain adaptation. The outcome is more fluent outputs that are trained and customized based on your company's style and word choices.

The precision of machine translation outputs highly depends on factors such as: language pairs, topic complexity, and source text quality.

Neural networks have improved the contextual understanding and fluency of machine-generated translations. For certain domains and common language pairs, modern machine translations produce outputs almost indistinguishable from human translations for certain topics.

At Milengo, we combine machine translation and generative AI in a unique methodology that produces more fluent and more accurate translations at significantly lower costs.

Many companies opt for machine translation due to its speed and cost-effectiveness. These factors make machine translation highly suitable for translating large volumes of content at a relatively low cost compared to human translation.

At Milengo, we enhance our machine translation technology by integrating it with industry-specific translation databases to ensure that industry-specific terminology is correctly translated.

Raw machine translations may be prone to inaccuracies, especially when dealing with creativity and interpreting context. They often need support from humans with content such as jokes, idioms, cultural nuances and other language complexities. For this reason, it is essential to review important texts both before and after applying machine translation to ensure your source text is free from ambiguous contexts and that your text has been translated accurately.

Milengo offers machine translations in 220+ language pairs.

We offer a range of AI-powered machine translation services with varying levels of quality levels to suit your translation project needs. Depending on your content's objective, you can choose between simple, accurately translated texts to ensure end-users understand clearly, customized and branded outputs that match your brand voice, or creatively translated outputs to convey ideas and emotions across cultures.

Schedule a consultation call with our localization experts and they will be happy to advise you on how to best incorporate machine translations into your localization strategy.