parse tree

They are always above the bottom of the parse tree.

It is best to think of them in terms of parse trees.

A parse tree is made up of nodes and branches.

There are various notions of context for B in this parse tree.

For example, can be produced with these two different parse trees:

In some cases we want to recover the optimal parse tree itself, not just its score.

But can a different parse tree still produce the same terminal string, which is in this case?

XL0 defines how an input text is transformed into a parse tree.

None of the parse tree nodes numbered 7 and above exist yet.

But now that we've changed the grammar, our parse tree looks like this:

The parse tree and resulting code from it is not correct according to language semantics.

This parse tree is simplified; for more information, see X-bar theory.

For a more complete set of results, a more complicated object such as a parse tree must be returned.

The parse tree will only change if we pick a different rule to apply at some position in the tree.

Only the shaded lower-left corner of the parse tree exists.

More often, however, a node in a parse tree is a static symbol such as a number, letter, or word.

A more accurate analysis would take the depth of the parse tree into account separately from the input size.

There have also been attempts to produce parse trees for input using probabilistic techniques.

The use of parse tree functions is highly dependent on the area which is using it.

The system made no attempt to determine deep structure parses, limiting itself to finding surface parse trees.

The multiple valid parse trees are computed simultaneously, without backtracking.

Individual parse trees are constructed using the guide tree by transmogrify().

These candidates are incomplete solutions to the search problems, e.g. partial parse trees.

The dependency-based parse tree for the example sentence above is as follows:

As another example, the grammar is ambiguous since there are two parse trees for the string a + a a: