Natural Language Processing (NLP) is the field of computer science and computer science that deals with the intelligent analysis of texts written in a natural language, namely, of the Computing with natural language texts.
The aim of the NLP is facilitate access to information contained in documents written in natural language, as well as promote their reuse. For it, the NLP focuses on the Development of methods and techniques to automate the process of analysis and comprehension of texts.
NLP is a field of research interdisciplinary that draws on knowledge and techniques from various areas, as the computational linguistics, Artificial Intelligence, Linguistics, Psychology and statistics.
Origins
NLP dates back to the beginnings of computing, in the mid-twentieth century. In 1952, The scientist Alan Turing proposed the Test de Turing, and Artificial Intelligence experiment which consisted of testing whether a machine was capable of deceiving a human by posing as another..
From this experiment, The first attempts to Making machines understand human language. One of the first to deal with this problem was the linguist Noam Chomsky, who in 1957 proposed the Universal Grammar, a formal grammar model that allowed Describe all human languages.
In the decade of 1960, The scientist Marvin Minsky proposed the Society of Mind Model, A theory of artificial intelligence that posited that the human brain could be understood as a Society of Simple Minds. This theory was very influential in the development of NLP., since Promoted the use of artificial intelligence techniques for natural language processing.
In the decade of 1970, The scientist Terry Winograd developed the SHRDLU, and Artificial Intelligence Program Able to understand natural language commands and execute them in a virtual world. The SHRDLU was one of the First artificial intelligence programs to understand human language, and was very influential in the development of NLP.
Problems facing the NLP
The NLP faces a number of Problems that hinder the processing of texts in natural language.
The First problem It's him Human language same. Human language is a Very powerful tool, but it is also very complex y has many irregularities. This makes it Very difficult to build programs capable of understanding human language.
The Second problem is the ambiguity. Human language is a language ambiguous, namely, has many words with multiple meanings. This makes it very difficult to understand the meaning of a text.
The Third problem is the complexity. Human language is a language very complex, y Their grammatical structures are very complicated. This makes it very difficult to process texts in human language.
Applications of NLP
NLP is used in a wide variety of Applications.
The First application It's him Speech recognition. Speech recognition is a technique that allows Transform speech into text. This technique is used in apps like Siri, Google Now and Cortana.
The Second application It's him Machine Translator. The automatic translator is a technique that allows Translate texts from one language to another. This technique is used in apps like Google Translate and Microsoft Translator.
The Third application It's him Sentiment analysis. Sentiment analysis is a technique that allows identify the feeling expressed in a text. This technique is used in applications such as Google Sentiment Analysis and Microsoft Azure Text Analytics.
Advantages and disadvantages of NLP
The NLP presents a series of advantage y Disadvantages.
Las advantage of the PLN are as follows:
- NLP allows Access information contained in texts written in natural language.
- NLP allows Reuse the information contained in texts.
- NLP is a field of research interdisciplinary.
Las Disadvantages of the PLN are as follows:
- The NLP faces a number of Problems that hinder the processing of texts in natural language.
- NLP is a field of research Relatively new y constantly evolving.
- NLP requires Computer resources y Human.
Youtube Channels for Natural Language Processing
Natural Language Processing (NLP) is the field of artificial intelligence and computer science that deals with the analysis and understanding of human languages..
Natural Language Processing Training Course
If you are interested in the Natural Language Processing, We recommend the following courses:
- Natural Language Processing with Python
- Natural Language Processing and Deep Learning
- Natural Language Processing and Machine Learning
In these courses you can learn about topics such as Machine Learning, Deep Learning, text analysis, pattern recognition, etc.
We hope you find the perfect course for you!!