Natural language processing is now a rapidly growing subfield in linguistics, machine learning, and artificial intelligence, particularly concerned with the optimal interactions between humans and computers to process large quantities of natural language input and subsequently analyze and synthesize natural language information. The main components of natural language processing are automated tools for language processing, such as Natural Language Processing (NLP), NLP domains, and NLP technologies. Humans help to optimize these tools by providing inputs and targets, along with various other factors such as knowledge and expertise, which help machines understand and produce language. This article briefly discusses some of the main ideas about language processing.
There is always an increasing adoption of smart devices all across the globe, which is augmenting the growth of the global natural language processing market. Natural language processing is one of the main AI-driven systems, which include document understanding, computer vision, and the Internet of Things. The organizations use these to develop business values. Increased research and developments in AI-based technologies such as deep learning, machine learning, and cognitive search have changed the natural language processing applications. For instance, RAVN Systems, which provides knowledge management, and AI search introduced RAVN. RAVN is an applied cognitive engine, which is a robot powered by software that benefits the regulatory compliance of data protection. The robot is programmed with natural language processing. Moreover, the increasing requirement for a better customer experience is also augmenting the growth of the global natural language processing market.
Natural Language Processing involves the extraction of meaning from natural language. Humans can do this very effectively using simple task-based approaches, where a person gives a response to a question or an action, receives a response, and then gives a single response to another associated task. For instance, this can be used in online survey tasks and in completing business tasks, since it is very easy to provide a single response like "okay" to many questions in a survey or completing several actions to complete a business deal. On the other hand, it can be much more difficult to extract meaningful information from complex, dense texts such as company mission statements or patents. However, technological glitches and lack of expertise are the main factors that are influencing the growth of the global natural language processing market.
Enterprises in North America are investing in the advancement of natural language processing and its application, hence the region is witnessing high demand in the natural language processing market. With the increasing expansion of start-ups in the U.S., the usage of natural language processing services is also increasing. For instance, according to Embroker, Inc., currently, there are approximately 5779 start-ups in the U.S. owing to all these factors, there has been some significant industrial development in the global natural language processing market. For instance, in September 2019, Amazon Web Services Inc. launched Amazon Elasticsearch Service.
