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  2. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...

  3. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming ( NLP) is an ontology -assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...

  4. Textual entailment - Wikipedia

    en.wikipedia.org/wiki/Textual_entailment

    Textual entailment. In natural language processing, textual entailment ( TE ), also known as natural language inference ( NLI ), is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text.

  5. History of natural language processing - Wikipedia

    en.wikipedia.org/wiki/History_of_natural...

    Up to the 1980s, most NLP systems were based on complex sets of hand-written rules. Starting in the late 1980s, however, there was a revolution in NLP with the introduction of machine learning algorithms for language processing. This was due both to the steady increase in computational power resulting from Moore's law and the gradual lessening ...

  6. Natural-language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural-language_understanding

    Natural-language understanding. Natural-language understanding ( NLU) or natural-language interpretation ( NLI) [1] is a subset of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. [2]

  7. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    Natural-language processing can be described as all of the following: A field of science – systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. [1] An applied science – field that applies human knowledge to build or design useful things.

  8. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

  9. Spark NLP - Wikipedia

    en.wikipedia.org/wiki/Spark_NLP

    Type. Natural language processing. License. Apache licence. Website. sparknlp .org. Spark NLP is an open-source text processing library for advanced natural language processing for the Python, Java and Scala programming languages. [2] [3] [4] The library is built on top of Apache Spark and its Spark ML library. [5]