Traditionally, feeding statistics and models have been the method of choice for interpreting phrases. Recent advances in this area include voice recognition software, human language translation, information retrieval and artificial intelligence. There is difficulty in developing human language translation software because language is constantly changing. Natural language processing is also being developed to create human readable text and to translate between one human language and another. The ultimate goal of NLP is to build software that will analyze, understand and generate human languages naturally, enabling communication with a computer as if it were a human.