Portland, OR -- (SBWIRE) -- 08/10/2017 -- It is a component of artificial intelligence, capable of understanding human language and later converts into machine language. In the current business scenario, humongous amount of data (big data) is being generated from various sources such as emails, audio, documents, web blogs, forums, social networking sites, etc. Natural language processing technique is been used in analysis of big data. Therefore, the natural language processing market would be lucrative in future.

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The greatest challenge for natural language processing applications is to identify human voice with different patterns, tones, pronunciations and to convert it into a programmable language. The main goal of such applications is to reduce the use of specialized languages such as Java, Ruby, C, etc., and introduce only human language in all computerized systems. The biggest advantage of this application is its basic and advanced level of interaction with humans. In future, humans would need to feed codes to systems orally instead of writing them on the computer system. Currently, such applications are used in voice recognition systems; however, eventually, these applications would find substantial demand in varied domains. Convenient interaction with machines would drive the global NLP market. Additionally, customer care centers are continuously adopting natural language processing technologies to provide better customer experience that contributes in driving the global market.

Natural Language Processing market analysis by Types

Various types of natural language processing solutions available in the market are statistical NLP, hybrid based NLP, and rule NLP. Statistical NLP uses probabilistic and statistical methods for solving difficulties in the construction of long sentences, whereas rule NLP uses structured rules to detect and correct the human voice. Rule based NLP is also another popular technique amongst the various types of NLP solutions.

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