Machine Learning may not yet be a household term, but it pervades our everyday lives more than the average person likely knows. Very basically, Machine Learning involves adaptive algorithms that learn from data provided by past experiences.
Every time you Google something, algorithms are taking into account the search terms you use and the results you click on to improve the results and autofill suggestions for the next user. Your Netflix recommendations are based on not only your search and viewing history, but those of millions of other users like you. According to Netflix’s own developers, those recommendations become infinitely more complex when multiple languages are introduced to the equation.
In medical technology, scientists are employing Machine Learning to analyze trends in diabetic blood glucose measurements to predict risk of hospitalization and evaluate influencing factors. Elsewhere, doctors and machines are examining exabytes worth of data to find the networks of gene mutations responsible for diseases like colon cancer.
Over the past decade, SDL has constantly pushed the boundaries of research in this field, publishing 200 scientific papers and acquiring 45 patents. We’re using cutting-edge innovations in Machine Learning to constantly improve software that predicts, decides, optimizes, and adapts to the speed at which content is being created. SDL’s Neural and Adaptive Machine Translation is a good example.
But Machine Translation is just the tip of the iceberg. SDL’s research tackles every aspect of Natural Language Processing: Synthetic Content Generation, Syntactic Parsing, Language Modeling, Sentiment Analysis, Topic Modeling and Information Retrieval.
For 2017, we’ve productized the technology in three ways:
Trados: Machine translation technology is now embedded into our translation workbenches. The feature suggests translations automatically, allowing translators to deliver accurately translated content far more quickly and efficiently than ever before.
Enterprise Translation Server: Machine Learning is embedded into our on-premise translation engines, which are specific industry or organizational terminology and translate large volumes of information quickly.
Salesforce: The SDL Global Team app allows global teams to easily translate Salesforce data, making global collaboration and translation available on-demand and in real-time, from within Salesforce. The app provides instant translation of any foreign-language content. Simply highlight and hover over the text.
SDL is committed to unlocking the value of data to empower companies to make the right strategic decisions and go global quickly and effectively.