Here’s an example of a noun being pre and post modified by adjective phrases:
They prefer well-drained soil rich in organic matter.
google search
In the English Grammar Profile, B2 point 59 in the category of ADJECTIVES is only defined as:
combining, adjective phrases to modify nouns
Also, B2 point 47 in the category of NOUNS & phrases is defined as:
complex noun phrases by using adjective phrases as postmodifiers to give more information about the noun.
Both these points have exactly the same example sentences!
This is quite difficult then to decide exactly what they mean. There are many types of these and many of them exist at different levels. Large corpora produce almost no results for these patterns too. Looking at their examples, it seems that they may need to be both pre-modifying and post-modifying words for it to qualify as B2.
- Besides, we could leave one day in the morning and travel by boat to a small and exotic
islandfull of different and exotic species of birds that we could observe and photograph.- Emily Brontë succeeded in writing a romantic, psychological and tragic
story, beautifully set in these mysterious moors.
1. The essential parts of the first example might be stated as such:
exotic_JJ island_NN1 full_JJ of_IO different_JJ and_CC exotic_JJ species_NN
_jj _nn _jj _i _jj _cc _jj _nn or further simplified (since iWeb will not allow too many wildcards) to:
_jj _nn _jj _i _jj
1 NET INCOME AVAILABLE TO COMMON 170
1 NET INCOME AVAILABLE TO COMMON SHAREHOLDERS 115
2 NET INCOME AVAILABLE TO COMMON STOCKHOLDERS 104
2 NET INCOME ATTRIBUTABLE TO COMMON 166
3 FULLEST EXTENT PERMISSIBLE UNDER APPLICABLE 71
4 NET LOSS ATTRIBUTABLE TO COMMON 64
5 WELL-DRAINED SOIL RICH IN ORGANIC 61
7 NET EARNINGS AVAILABLE TO COMMON 56
8 ONLY THING NECESSARY FOR EVIL
55
This is all my fault, Miss Lemon, because I let it happen,
and the only thing necessary for the triumph of evil is for good men to do nothing.
*However this example is C2 FOCUS with a premodifier.
In a 14 billion word corpus, there are less than 500 ngrams for a point found in the learner corpus. The complexity of this could then be questionable.
2. the second example: tragic_JJ story_NN1 ,_, beautifully_RR set_VVN in_II these_DD2 mysterious_JJ moors_NN2
_jj _nn , _rr _vvn _i _d _jj _nn
Sadly the iWeb corpus will not accept such a long open search. However, we can collect what are mostly cooking ingredients:
1 ISLAMIC STATE , ALSO KNOWN 255
2 RED ONION , THINLY SLICED 113
3 RED ONION , FINELY CHOPPED 87
4 LARGE EGGS , LIGHTLY BEATEN 82
5 MEDIUM ONION , FINELY CHOPPED 78
6 SMALL ONION , FINELY CHOPPED 77
7 INTERNATIONAL AIRPORT , ALSO KNOWN 75
8 HIGH VOLUME , FAST PACED 71
9 LARGE ONION , FINELY CHOPPED 66
10 HIGH QUALITY , REASONABLY PRICED 57
11 NEW YEAR , ALSO KNOWN 52
12 GREEN ONIONS , THINLY SLICED 52
13 AMERICAN ACTRESS , BEST KNOWN 51
14 LATERAL SCLEROSIS , ALSO KNOWN 49
15 HIGH QUALITY , WELL MADE 49
To these we can try adding in more:
