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  2. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    Parse tree generated with NLTK. 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 ...

  3. Sentence boundary disambiguation - Wikipedia

    en.wikipedia.org/wiki/Sentence_boundary...

    Things such as shortened names, e.g. "D. H. Lawrence" (with whitespaces between the individual words that form the full name), idiosyncratic orthographical spellings used for stylistic purposes (often referring to a single concept, e.g. an entertainment product title like ".hack//SIGN") and usage of non-standard punctuation (or non-standard ...

  4. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  5. Stop word - Wikipedia

    en.wikipedia.org/wiki/Stop_word

    [7] In recent years the SEO best practices around stop words have evolved along with the fields of machine learning and natural language processing. In February 2021, John Mueller, Webmaster Trends Analyst at Google, Tweeted, "I wouldn't worry about stop words at all; write naturally. Search engines look at much, much more than individual words.

  6. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...

  7. Apache OpenNLP - Wikipedia

    en.wikipedia.org/wiki/Apache_OpenNLP

    The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution. These tasks are usually required to ...

  8. Edit distance - Wikipedia

    en.wikipedia.org/wiki/Edit_distance

    In computational linguistics and computer science, edit distance is a string metric, i.e. a way of quantifying how dissimilar two strings (e.g., words) are to one another, that is measured by counting the minimum number of operations required to transform one string into the other.

  9. Outline of natural language processing - Wikipedia

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

    ETAP-3 – proprietary linguistic processing system focusing on English and Russian. [12] It is a rule-based system which uses the Meaning-Text Theory as its theoretical foundation. JAPE – the Java Annotation Patterns Engine, a component of the open-source General Architecture for Text Engineering (GATE) platform.