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  2. Parse tree - Wikipedia

    en.wikipedia.org/wiki/Parse_tree

    A simple parse tree. A parse tree is made up of nodes and branches. [4] In the picture the parse tree is the entire structure, starting from S and ending in each of the leaf nodes (John, ball, the, hit). In a parse tree, each node is either a root node, a branch node, or a leaf node. In the above example, S is a root node, NP and VP are branch ...

  3. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language. Each node of the tree denotes a construct occurring in the text.

  4. Tree-sitter (parser generator) - Wikipedia

    en.wikipedia.org/wiki/Tree-sitter_(parser_generator)

    It is used to parse source code into concrete syntax trees usable in compilers, interpreters, text editors, and static analyzers. [1] [2] It is specialized for use in text editors, as it supports incremental parsing for updating parse trees while code is edited in real time, [3] and provides a built-in S-expression query system for analyzing ...

  5. Attribute grammar - Wikipedia

    en.wikipedia.org/wiki/Attribute_grammar

    An inherited attribute at a node in parse tree is defined using the attribute values at the parent or siblings. Inherited attributes are convenient for expressing the dependence of a programming language construct on the context in which it appears.

  6. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.

  7. Sentence diagram - Wikipedia

    en.wikipedia.org/wiki/Sentence_diagram

    Both parse trees employ the convention where the category acronyms (e.g. N, NP, V, VP) are used as the labels on the nodes in the tree. The one-to-one-or-more constituency relation is capable of increasing the amount of sentence structure to the upper limits of what is possible.

  8. Bottom-up parsing - Wikipedia

    en.wikipedia.org/wiki/Bottom-up_parsing

    A bottom-up parse discovers and processes that tree starting from the bottom left end, and incrementally works its way upwards and rightwards. [2] A parser may act on the structure hierarchy's low, mid, and highest levels without ever creating an actual data tree; the tree is then merely implicit in the parser's actions.

  9. ANTLR - Wikipedia

    en.wikipedia.org/wiki/ANTLR

    [citation needed] [6] ANTLR can generate lexers, parsers, tree parsers, and combined lexer-parsers. Parsers can automatically generate parse trees or abstract syntax trees, which can be further processed with tree parsers. ANTLR provides a single consistent notation for specifying lexers, parsers, and tree parsers.