What is Machine Translation

This chapter presents a view of how the use of NLP knowledge might change the relation between universities and companies. Products from NLP analysis are expected in both ends of this at times not so reciprocal exchange. But history has shown the products developed by universities and companies are complementary for the development of NLP. The great volume of data the world is producing is requiring newer perspectives to provide understanding. These newer aspects found on big data may provide the comprehension of human language categorization and therefore possibly human language acquisition. But to process data more data need to be produced and not all companies have the time to dedicate for this task. This chapter aims to present through sharing literature review and experience in the field that partnerships are the most reliable resource for the cycle of knowledge production in NLP. Companies need to be receptive of the theoretical knowledge the university may provide, and universities must turn their theoretical knowledge for a more applied envionment.