1.1Symbolic NLP (1950s – early 1990s) 1.2Statistical NLP (1990s–present) 2Approaches: Symbolic, statistical, neural networks. Toggle Approaches: Symbolic, statistical, neural networks subsection. 2.1Statistical approach. 2.2Neural networks. 3Common NLP tasks. Toggle Common NLP tasks subsection.

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that uses machine learning to help computers communicate with human language.

Natural Language Processing (NLP) helps computers understand, interpret and produce human language. It studies language as data and develops a model that can analyse linguistic structure, meaning and context in both written and spoken communication.

Natural Language Processing (NLP) helps machines to understand and process human languages either in text or audio form. It is used across a variety of applications from speech recognition to language translation and text summarization.

Natural language processing (NLP)is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized.

Natural Language Processing (previously Natural Language Engineering) is an open access journal which meets the needs of professionals and researchers working in all areas of natural language processing (NLP).

El procesamiento del lenguaje natural (PLN) es un subcampo de la inteligencia artificial (IA) que utiliza el machine learning para ayudar a los ordenadores a comunicarse con el lenguaje humano.

Natural Language Processing (NLP)is a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language in a meaningful way.

Natural language processing is the use of operations, systems, and technologies that allow computers to process and respond to written and spoken language in a way that mirrors human ability.

Alternar subsección Dificultades en el procesamiento de lenguaje natural. 2.1Ambigüedad. 2.2Detección de separación entre las palabras. 2.3Recepción imperfecta de datos. 3Componentes. 4Realidad actual de la disciplina. 5Procesamiento del lenguaje natural y Comprensión del lenguaje natural. 6Aplicaciones. 7Véase también. 8Referencias. 9Bibliografía.