This is a fascinating subject, and we are lucky enough to have Catherine Havasi speak to us in April. So much of what I do is about plain and simple communication. You too? Bi-lingual teachers know, that there is an overwhelming need to teach in a way that profoundly REACHES the student; that student will be more engaged and more excited to learn. These new technologies are essential for medicine, finance, education, technology… everything really!
Introducing Natural Language Processing! It’s the way to discover the meaning behind the words.
It’s not just about the words. Machines need to be capable of more than translating word-for-word in our multilingual world. Multiple examples exist of words and phrases that simply do not translate from one language to another. As businesses become more global, companies increasingly need to take into account feedback from people all over the world who are using their products, not just those who speak English. Teaching a computer to comprehend reviews in Spanish or Mandarin is much more complicated than just running a quick translation algorithm. The computer needs to be able to comprehend and analyze that language in its native tongue, including idioms and phrases, otherwise much of the meaning is lost. By leveraging the power of Natural Language Processing (NLP) and artificial intelligence (AI) we can teach a computer to understand multiple languages in order to rapidly deliver insights to various parts of the business.
Dr. Catherine Havasi is the CEO and Co-Founder of Luminoso Technologies, an Artificial Intelligence (AI)-based Deep Analytics Company in Cambridge, MA. Luminoso was founded after nearly a decade of research at the MIT Media Lab related to how NLP and machine learning could be applied to text analytics. For over 15 years she has been researching language and learning and was a research scientist in artificial intelligence and computational linguistics at the MIT Media Lab where she ran the Digital Intuition group. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, a big-data lexical resource used in over two thousand academic projects.