The trees of the FRMG grammar that are compiled from the FRMG meta-grammar may be searched and browsed here.

it may also be noted that when using the parsing interface on a sentence, the trees that have been used are listed at the bottom of the right panel.

Some statistics about the grammar

Some statistics about the meta-grammar and the resulting trees (updated September 2016)

The following table confirms the strong compactness of the grammar, with only 381 elementary trees

Distribution by tree types
Classes Trees Init. Trees Aux. Trees Left Aux. Right Aux. Wrap Aux.
415 381 57 324 91 184 49

The following table shows that, surprisingly, the number of tree (schema) anchored by verbs is quite low (only 43 trees), when for other existing TAG grammars, they usually form the largest group. At the difference of most other TAG grammars, one may also note the presence of a large number of non-anchored trees (which doesn't mean they have no lexical nodes, or co-anchor nodes). Actually, most of the trees correspond to auxiliary trees anchored by modifying categories such as adverbs or adjectives. And the main reason why there are so few verbal trees is because it is actually possible to get a very high factorization rate for them. On the other hand, modifiers generally correspond to simple trees that can be adjoined on many different sites (before or a after a verb, between an aux verb and a verb, between arguments, on non verbal categories, ....), a diversity that can't (yet) be captured through factorization.

Distribution by anchors
anchored v coo adv adj csu prep aux np nc det pro not anchored
260 43 50 53 23 10 10 2 3 30 1 7 121

The following table confirms the high compactness for verbal trees, with in particular very few trees needed to cover the phenomena of extraction of verbal arguments (for wh-sentences, relative sentences, clefted sentences, or topicalized sentences). For standard TAG grammars, this is these extraction phenomena that lead to a combinatorial explosion of the number of verbal trees. On the other hand, we observe a relatively high number of auxiliary trees associated to modifiers at sentence levels (adverbs, temporal adverbs, participials, PPs, ...). This is in particular due to the modularity and inheritance properties of meta-grammars that allow us to easily add new kinds of modifiers (and there seems to exist quite a large diversity, yet to be captured :-)

Distribution by syntactic phenomena
canonical extraction active passive wh relative cleft topic s-modifiers
8 19 25 10 3 3 7 6 at least 60

The following table shows the heavy use of the factorization operators, in particular of guards. Free ordering is essentially used between arguments of verbs (but also of a few other categories). Repetition is only used for coordinations and enumerations.

Distribution of the factorization operators
guards disjunctions free order repetitions
3713 (+=1916, -=1797) 234 23 57

A study of a complex factorized tree

As mentioned, the most factorized trees are those anchored by verbs (verbal trees) and in particular, the canonical verbal tree (active voice, no extraction).