Neural machine translation is a breakthrough that can greatly help your company's translation projects. These neural network-based systems are trained with specific materials by expert translators. This guarantees a professional result that preserves your corporate style.
What is neural machine translation?
Neural Machine Translation or NMT has been a major step forward in the field of machine translation.
Answering the question of what neural machine translation is, is somewhat complex. It is a system based on artificial neural networks, inspired by biological neural networks. These use sophisticated algorithms to provide a more accurate and consistent translation than machine translation obtained by statistical models.
In order to understand the keys to neural machine translation, it is important to keep in sight one of the fundamental concepts in any translation: context.
Previously developed statistical machine translation (SMT) worked with very complex statistical models. They were trained with very large bilingual linguistic corpora. The reason was to try to provide reliable translations based on the sentences with high probabilities.
Neural machine translation engines are also trained with translation memories. The big difference is the treatment of that same information. In the case of NMT, for example, the process followed by a human being is mimicked.
How neural networks are trained and applied to translation services
Neural networks or neural machine translation engines are made up of units called nodes, connected to each other by layers.
Translation engines, both in machine translation and neural machine translation, are trained by human translators who provide the information in the form of already translated words, sentences and texts.
Words and sentences are represented numerically by vectors. And through mathematical formulas, these generate a string of resulting numbers that are decoded back into words and sentences.
The process is as follows:
- The units of the first layer receive the information and convert it into computational language.
- The units or nodes establish the various possible correlations in a constant deep learning process based on association and error discarding.
- The data is filtered through the various layers until it reaches the last layer, or output layer, which provides the resulting translation.
The greater the volume of bilingual linguistic patterns with which the neural network is trained, the more accurate the result it provides, as the number of connections between units increases.
What are the advantages of a professional neural machine translation service?
Although neural machine translation is a great translation technology solution, it still has a long way to go. While in many language pairs it provides a smooth and accurate result, some sentences may sound right without being totally correct. These are errors that are not obvious at first glance and require the expert eye of the translator to ensure the correct meaning of the sentence and its inclusion in the context.
A professional neural machine translation service trains the engines with client-specific translation memories, with content and terminology examined and validated so as not to lose the corporate style of each project.
Post-editing by professional translators guarantees the quality of the final result, avoiding any error that may decontextualize a sentence or paragraph or that may add undesired nuances.
Neural machine translation integrated into a professional service with expert translators, such as the one offered by Linguaserve, ensures the highest confidentiality and quality for all your translation projects.