TGrep search implementation for NLTK trees.
Copyright (c) 16 March, 2013 Will Roberts <[email protected]>.
Licensed under the MIT License (see source file tgrep.py for details).
This module supports TGrep2 syntax for matching parts of NLTK Trees.
Note that many tgrep operators implemented here require the tree
passed to be a ParentedTree
.
NOTE: nltk_tgrep has been integrated into the NLTK project, and can now be found here at its new home. This github repository will remain here, but will not be updated in future.
Tgrep tutorial: http://www.stanford.edu/dept/linguistics/corpora/cas-tut-tgrep.html
Tgrep2 manual: http://tedlab.mit.edu/~dr/Tgrep2/tgrep2.pdf
Tgrep2 source: http://tedlab.mit.edu/~dr/Tgrep2/
- Python 2.6 or better, or Python 3.2 or better
- future (for Python 2)
- NLTK, version 3.0.0 or better
- pyparsing
$ sudo pip install nltk_tgrep
>>> from nltk.tree import ParentedTree >>> import nltk_tgrep >>> tree = ParentedTree.fromstring('(S (NP (DT the) (JJ big) (NN dog)) (VP bit) (NP (DT a) (NN cat)))') >>> nltk_tgrep.tgrep_nodes(tree, 'NN') [ParentedTree('NN', ['dog']), ParentedTree('NN', ['cat'])] >>> nltk_tgrep.tgrep_positions(tree, 'NN') [(0, 2), (2, 1)] >>> nltk_tgrep.tgrep_nodes(tree, 'DT') [ParentedTree('DT', ['the']), ParentedTree('DT', ['a'])] >>> nltk_tgrep.tgrep_nodes(tree, 'DT $ JJ') [ParentedTree('DT', ['the'])]
This implementation adds syntax to select nodes based on their NLTK
tree position. This syntax is N
plus a Python tuple representing
the tree position. For instance, N()
, N(0,)
, N(0,0)
are
valid node selectors. Example:
>>> tree = ParentedTree.fromstring('(S (NP (DT the) (JJ big) (NN dog)) (VP bit) (NP (DT a) (NN cat)))') >>> tree[0,0] ParentedTree('DT', ['the']) >>> tree[0,0].treeposition() (0, 0) >>> nltk_tgrep.tgrep_nodes(tree, 'N(0,0)') [ParentedTree('DT', ['the'])]
- Link modifiers: "?" and "=" are not implemented.
- Tgrep compatibility: Using "@" for "!", "{" for "<", "}" for ">" are not implemented.
- The "=" and "~" links are not implemented.
There are some issues with link relations involving leaf nodes (which are represented as bare strings in NLTK trees). For instance, consider the tree:
(S (A x))
The search string
* !>> S
should select all nodes which are not dominated in some way by anS
node (i.e., all nodes which are not descendants of anS
). Clearly, in this tree, the only node which fulfills this criterion is the top node (since it is not dominated by anything). However, the code here will find both the top node and the leaf nodex
. This is because we cannot recover the parent of the leaf, since it is stored as a bare string.A possible workaround, when performing this kind of search, would be to filter out all leaf nodes.