Machine Translation Services

Rule-based machine translation (RBMT) is the first commercial and classical approach of machine translation based on detailed bilingual dictionaries and linguistic rules developed by human language experts. When trained with your specialist dictionary, rule-based machine translation can be tailored to the specific needs of your industry, delivering consistent translations with highly accurate terminology.

Statistical machine translation (SMT) is a machines translation paradigm that doesn’t rely on linguistic rules but high volumes of training data with attached algorithms to translate based on the likelihood of the word pairings in existing human translations. Although SMT produces more fluent-sounding translations, the results are usually less consistent.

Neural machine translation (NMT) is the most modern approach that uses representation learning styles to train a machine to translate like humans by predicting the probability of a sequence of words and modeling entire sentences in a single integrated deep learning model. This approach is getting increasingly popular with more reliable and human-sounding results in most language pairs. The number of languages available in our NMT services is continuously growing. Soon, we will cover more languages to enable faster global communication at competitive rates.