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  2. 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.

  3. c-command - Wikipedia

    en.wikipedia.org/wiki/C-command

    E does not c-command any node because it does not have a sister node or any daughter nodes. F c-commands G. G c-commands F. If node A c-commands node B, and B also c-commands A, it can be said that A symmetrically c-commands B. If A c-commands B but B does not c-command A, then A asymmetrically c-commands B.

  4. Node (computer science) - Wikipedia

    en.wikipedia.org/wiki/Node_(computer_science)

    A node is a basic unit of a data structure, such as a linked list or tree data structure. Nodes contain data and also may link to other nodes. Links between nodes are often implemented by pointers. In graph theory, the image provides a simplified view of a network, where each of the numbers represents a different node.

  5. Parse tree - Wikipedia

    en.wikipedia.org/wiki/Parse_tree

    A leaf node, however, is a terminal node that does not dominate other nodes in the tree. S is the root node, NP and VP are branch nodes, and John (N), hit (V), the (D), and ball (N) are all leaf nodes. The leaves are the lexical tokens of the sentence. A parent node is one that has at least one other node linked by a branch under it.

  6. Node (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Node_(linguistics)

    Since Merge is an operation that combines two elements, a node under the Minimalist Program needs to be binary just as in the X-bar theory, although there is a difference between the theories in that under the X-bar theory, the directionality of branching is fixed in accordance with the principles-and-parameters model (not with the X-bar theory ...

  7. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    When working with graphs that are too large to store explicitly (or infinite), it is more practical to describe the complexity of breadth-first search in different terms: to find the nodes that are at distance d from the start node (measured in number of edge traversals), BFS takes O(b d + 1) time and memory, where b is the "branching factor ...

  8. Zipper (data structure) - Wikipedia

    en.wikipedia.org/wiki/Zipper_(data_structure)

    The generic zipper [6] [7] [8] is a technique to achieve the same goal as the conventional zipper by capturing the state of the traversal in a continuation while visiting each node. (The Haskell code given in the reference uses generic programming to generate a traversal function for any data structure, but this is optional – any suitable ...

  9. 2–3–4 tree - Wikipedia

    en.wikipedia.org/wiki/2–3–4_tree

    Split the remaining 3-node up into a pair of 2-nodes (the now missing middle value is handled in the next step). If this is the root node (which thus has no parent): the middle value becomes the new root 2-node and the tree height increases by 1. Ascend into the root. Otherwise, push the middle value up into the parent node.