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  2. ANTLR - Wikipedia

    en.wikipedia.org/wiki/ANTLR

    In computer-based language recognition, ANTLR (pronounced antler), or ANother Tool for Language Recognition, is a parser generator that uses a LL(*) algorithm for parsing. ANTLR is the successor to the Purdue Compiler Construction Tool Set ( PCCTS ), first developed in 1989, and is under active development.

  3. Sentence diagram - Wikipedia

    en.wikipedia.org/wiki/Sentence_diagram

    A sentence diagram is a pictorial representation of the grammatical structure of a sentence. The term "sentence diagram" is used more when teaching written language, where sentences are diagrammed. The model shows the relations between words and the nature of sentence structure and can be used as a tool to help recognize which potential ...

  4. LanguageTool - Wikipedia

    en.wikipedia.org/wiki/LanguageTool

    Some languages use 'n-gram' data, [7] which is massive and requires considerable processing power and I/O speed, for some extra detections. As such, LanguageTool is also offered as a web service that does the processing of 'n-grams' data on the server-side.

  5. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.

  6. Parsing - Wikipedia

    en.wikipedia.org/wiki/Parsing

    One such model is a more traditional generative model of sentence processing, which theorizes that within the brain there is a distinct module designed for sentence parsing, which is preceded by access to lexical recognition and retrieval, and then followed by syntactic processing that considers a single syntactic result of the parsing, only ...

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Some unsupervised summarization approaches are based on finding a "centroid" sentence, which is the mean word vector of all the sentences in the document. Then the sentences can be ranked with regard to their similarity to this centroid sentence. A more principled way to estimate sentence importance is using random walks and eigenvector centrality.

  8. These are the 2024 SEO trends you need to know - AOL

    www.aol.com/lifestyle/2024-seo-trends-know...

    Unfortunately, accuracy can be a struggle, given the rise of AI-driven content (and self-cannibalization). But over 65% of the marketers surveyed by NP Digital don’t feel that way.

  9. Parse tree - Wikipedia

    en.wikipedia.org/wiki/Parse_tree

    S for sentence, the top-level structure in this example. NP for noun phrase. The first (leftmost) NP, a single noun John, serves as the subject of the sentence. The second one is the object of the sentence. VP for verb phrase, which serves as the predicate. V for verb; in this case, it's the transitive verb hit.

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