Wide range of manner ADVERBS as modifiers – English Grammar Profiler
How much would you need to do the job properly?
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The word “properly” in the sentence above is an adverb. In this sentence, “properly” modifies the verb “do.” It tells us how the job should be done.
The adverb “properly” can be used in a variety of ways. It can be used to mean “in a correct or acceptable way.” For example, you might say “I did my homework properly.” It can also be used to mean “in a thorough or careful way.” For example, you might say “I checked the answer carefully to make sure I did it properly.”
In the sentence “How much would you need to do the job properly?”, the adverb “properly” is used to emphasize the importance of doing the job correctly. The speaker is asking how much money is needed to complete the job in a way that meets the required standards.
Here’s another example that follows a similar pattern:
These men take their privacy very seriously.
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B2 point 52 in the category of ADVERBs in the English Grammar Profile is defined:
a wide range of adverbs to modify how something happens.
A2 is the lowest level for this point for a ‘limited range’.
The following examples with EVP B1 and above adverbs are given and automatically coloured and linked with the complexity checker on this site:
(white is academic vocabulary)
Pattern 1
I decided to copy the pattern for “take his warning seriously.” => for a search on the iWeb corpus for _v* _a* _nn* _rr .
(however this is only one type of spacing to find a verb object adverb at the end of clause).
On the left is for general adverbs (I couldn’t distinguish the comparative adverbs etc. on the right for iWeb)
The tagger incorrectly tags these as adverbs when the phrase “make something easier” means to simplify, streamline, demystify, facilitate, relieve or improve something. The closest grammar is MAKE + OBJECT + ADJECTIVE form:
1 MAKE (VVI ) YOUR LIFE EASIER (RRR) . 2516
2 SET (VVI ) THE RECORD STRAIGHT (RR_JJ) . 1592
On the EVP this is
3 HAVE (VH0 ) NO IDEA WHY (RRQ) . 1339
4 MAKE (VVI ) THE PROBLEM WORSE (RRR@_JJR) . 716
5 MAKE (VVI ) THE SITUATION WORSE (RRR@_JJR) . 682
6 MAKE (VVI ) THE PROCESS EASIER (RRR) . 658
7 MAKE (VVI ) YOUR JOB EASIER (RRR) . 614
8 FITS THE BILL PERFECTLY. 559 Perfectly=B1 on the EVP, For example:
I think
he fits the bill perfectly for Liverpool,
in terms of his all-round game.
empireofthekop.com
This is very idiomatic,
On Cambridge dictionary: fill/fit the bill = to be exactly what is needed in a particular situation. This might be too high for most students to get the grammar.
9 MAKE (VVI ) THE JOB EASIER (RRR) . 432 10 FIT (VV0 ) THE BILL PERFECTLY (RR) . 431
11 MAKE (VVI ) THEIR LIVES (NN2) EASIER (RRR_JJR) . 431
A1 =well 12 DO THE JOB WELL. 424
13 HAVE (VH0 ) A QUESTION THOUGH (RR@) . 375
14 HAD (VHN ) A PROBLEM SINCE (RR@_II@) . 369
15 CONTACT YOUR DOCTOR IMMEDIATELY (A2) (RR) . 364
16 MAKE (VVI ) OUR LIVES EASIER (RRR_JJR) . 359 17 MAKE (VVI ) THEIR LIVES BETTER (RRR_JJR) . 358
18 MAKE (VVI ) YOUR LIFE BETTER (RRR) . 355
19 DO THE JOB PROPERLY (B1). 328
20 MAKE (VV0 ) YOUR LIFE EASIER (RRR) . 328 21 IS THE REASON WHY (RRQ) . 326 22 DOES (VDZ ) THE (AT) JOB (NN1) WELL (RR_NN1@) . (.) 323
23 MAKE (VVI ) MY LIFE EASIER (RRR) . 272
24 PLAY (VV0 ) YOUR (APPGE) CARDS (NN2) RIGHT (RR_NN1_JJ) . (.) 272
25 MAKE (VVI ) THE (AT) WORLD (NN1) BETTER (RRR) . (.) 271
26 GET (VV0 ) YOUR (APPGE) FACTS (NN2) STRAIGHT (RR_JJ) . (.) 259
27 MAKING (VVG ) THE (AT) PROBLEM (NN1) WORSE (RRR@_JJR) . (.) 249
28 HAVE (VHI ) A (AT1) QUESTION (NN1) THOUGH (RR@) . (.) 237
29 CALL (VV0 ) YOUR (APPGE) DOCTOR (NN1) IMMEDIATELY (RR) . (.) 225
30 MAKE (VVI ) THE (AT) TRANSITION (NN1) EASIER (RRR) . (.) 225
31 DO (VDI ) THE (AT) JOB (NN1) NICELY (RR) . (.) 224
32 MAKES (VVZ ) YOUR (APPGE) LIFE (NN1) EASIER (RRR) . (.) 224 33 SUITS (VVZ ) YOUR (APPGE) NEEDS (NN2) BEST (RRT) . (.) 222 34 GO (VVI ) A (AT1) STEP (NN1) FURTHER (RRR) . (.) 218 35 DO (VDI ) THEIR (APPGE) JOBS (NN2) BETTER (RRR_JJR) . (.) 215 36 ARE (VBR ) NO (AT_RR%) REVIEWS (NN2_VVZ) YET (RR) . (.) 212 37 DOES (VDZ ) ITS (APPGE) JOB (NN1) WELL (RR_NN1@) . (.) 205 38 MAKES (VVZ ) THE (AT) PROBLEM (NN1) WORSE (RRR@_JJR) . (.) 202
39 MAKING (VVG ) THE (AT) SITUATION (NN1) WORSE (RRR@_JJR) . (.) 201
40 TAKE YOUR PRIVACY SERIOUSLY (B1/B2). 200
In the EVP, we find a similar example to the EGP learner’s: “take the warning seriously.”
41 HAD (VHD ) NO (AT) IDEA (NN1) WHY (RRQ) . (.) 197 42 HAVE (VH0 ) NO (AT) IDEA (NN1) HOW (RRQ) . (.) 194 43 MAKE (VVI ) OUR (APPGE) LIVES (NN2) BETTER (RRR_JJR) . (.) 193
44 MAKING (VVG ) YOUR (APPGE) LIFE (NN1) EASIER (RRR) . (.) 188
45 KEEP (VV0 ) YOUR (APPGE) BACK (NN1_JJ@) STRAIGHT (RR_JJ) . (.) 185
46 MAKES (VVZ ) MY (APPGE) LIFE (NN1) EASIER (RRR) . (.) 183 47 GOES (VVZ ) A (AT1) STEP (NN1) FURTHER (RRR) . (.) 181
48 MAKE (VVI ) THE (AT) CONDITION (NN1) WORSE (RRR@_JJR) . (.) 175
49 Follow the instructions carefully. 173
50 WENT (VVD ) A (AT1) STEP (NN1) FURTHER (RRR) . (.) 170 51 DO (VDI ) THEIR (APPGE) JOB (NN1) PROPERLY (RR) . (.) 168 52 IS (VBZ ) NO (AT_RR%) SLOUCH (NN1_VV0) EITHER (RR_DD1) . (.) 168
53 DOES (VDZ ) THE (AT) JOB (NN1) PERFECTLY (RR) . (.) 163
54 SEE (VV0 ) YOUR (APPGE) DOCTOR (NN1) IMMEDIATELY (RR) . (.) 162
55 DO (VDI ) THEIR (APPGE) JOBS (NN2) WELL (RR) . (.) 160
56 BE (VBI ) THE (AT) REASON (NN1) WHY (RRQ) . (.) 154
57 SETTING (VVG ) THE (AT) RECORD (NN1) STRAIGHT (RR_JJ) . (.) 154
58 CONTACT (VV0 ) YOUR (APPGE) VETERINARIAN (NN1_JJ) IMMEDIATELY (RR) . (.) 151
59 MAKE (VVI ) THE (AT) GAME (NN1) BETTER (RRR) . (.) 151
60 MAKES (VVZ ) THE (AT) SITUATION (NN1) WORSE (RRR@_JJR) . (.) 151
61 DO THEIR JOBS EFFECTIVELY (B2). 150
62 DO (VDI ) THEIR (APPGE) JOB (NN1) WELL (RR_NN1@) . (.) 149
63 DO (VDI ) THEIR (APPGE) JOB (NN1) BETTER (RRR) . (.) 149
64 FIT (VVI ) THE (AT) BILL (NN1) NICELY (RR) . (.) 149
65 TAKES (VVZ ) YOUR (APPGE) PRIVACY (NN1) SERIOUSLY (RR) . (.) 149
66 FIT (VVI ) THE (AT) BILL (NN1) PERFECTLY (RR) . (.) 148
67 HAD (VHN ) NO (AT) PROBLEMS (NN2) SINCE (RR@) . (.) 147 68 MAKE (VVI ) YOUR (APPGE) DECISION (NN1) EASIER (RRR) . (.) 145 69 DISCUSS (VVI ) THE (AT) MATTER (NN1) FURTHER (RRR) . (.) 140 70 MAKE (VV0 ) THE (AT) PROBLEM (NN1) WORSE (RRR@_JJR) . (.) 140 71 SEE (VV0 ) A (AT1) DOCTOR (NN1) IMMEDIATELY (RR) . (.) 139 72 DO (VDI ) ITS (APPGE) JOB (NN1) PROPERLY (RR) . (.) 138 73 BREAK (VVI ) THE (AT) BANK (NN1) EITHER (RR_DD1) . (.) 138 74 ‘S (VBZ ) NO (AT) WONDER (NN1_VV0) WHY (RRQ) . (.) 138 75 BE (VBI ) A (AT1) PROBLEM (NN1) ANYMORE (RR) . (.) 137
76 MAKE (VVI ) THEIR (APPGE) JOBS (NN2) EASIER (RRR_JJR) . (.) 135
77 SEE THE WORLD DIFFERENTLY (B1). 135
I started to see the world differently.
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78 MAKE (VVI ) THEIR (APPGE) JOB (NN1) EASIER (RRR) . (.) 133 79 SEE (VVI ) A (AT1) DOCTOR (NN1) IMMEDIATELY (RR) . (.) 133 80 DOING (VDG ) THEIR (APPGE) JOB (NN1) PROPERLY (RR) . (.) 131 81 BE (VBI ) THE (AT) CASE (NN1) ANYMORE (RR) . (.) 131 82 MAKE (VVI ) THE (AT) SITUATION (NN1) BETTER (RRR) . (.) 129 83 KEEPING (VVG ) YOUR (APPGE) BACK (NN1_JJ@) STRAIGHT (RR_JJ) . (.) 128 84 MAKE (VVI ) YOUR (APPGE) WORK (NN1) EASIER (RRR) . (.) 128
85 DO (VD0 ) THE (AT) JOB (NN1) WELL (RR_NN1@) . (.) 127
86 FOLLOWED (VVD ) THE (AT) RECIPE (NN1) EXACTLY (RR) . (.) 124
87 MAKE (VVI ) A (AT1) DIFFERENCE (NN1) TOO (RR@) . (.) 124 88 DO (VDI ) YOUR (APPGE) JOB (NN1) BETTER (RRR) . (.) 123 89 DOES (VDZ ) THE (AT) JOB (NN1) NICELY (RR) . (.) 123 90 DIED (VVD ) A (AT1) YEAR (NNT1) LATER (RRR) . (.) 123 91 MAKE (VVI ) THE (AT) TASK (NN1) EASIER (RRR) . (.) 123 92 FITS (VVZ ) THE (AT) BILL (NN1) NICELY (RR) . (.) 121
93 KNOW (VV0 ) YOUR (APPGE) CHILD (NN1) BEST (RRT) . (.) 121
94 MISSING (VVG ) THE (AT) POINT (NN1) ENTIRELY (RR) . (.) 121
95 SEE (VVI ) THE (AT) WORLD (NN1) DIFFERENTLY (RR) . (.) 121
96 KNOW (VVI ) THE (AT) REASON (NN1) WHY (RRQ) . (.) 117 97 MAKE (VVI ) THE (AT) TEAM (NN1) BETTER (RRR) . (.) 117 98 DIED (VVD ) A (AT1) WEEK (NNT1) LATER (RRR) . (.) 116
99 BE (VBI ) A (AT1) PROBLEM (NN1) EITHER (RR_DD1) . (.) 115
100 DO (VDI ) THEIR (APPGE) JOB (NN1) EFFECTIVELY (RR) . (.) 115
_nn* _v* _rr .
1 THINGS (NN2) GO (VV0) WRONG (RR) . (.) 3393
2 JOB (NN1) DONE (VDN) RIGHT (RR) . (.) 1353
3 INFORMATION (NN1) CONTAINED (VVD_VVN) HEREIN (RR) . (.) 724
4 HABITS (NN2) DIE (VV0) HARD (RR_JJ) . (.) 587
5 SIZE (NN1) FITS (VVZ) MOST (RRT@_DAT) . (.) 570
6 THINGS (NN2) WENT (VVD) WRONG (RR) . (.) 542
7 THINGS RUNNING SMOOTHLY (B2) . 541
1 KEEP (VVI ) 770
2 KEEP (VV0 ) 119 3 KEEPING (VVG ) 108
4 KEEPS (VVZ ) 73
8 MONEY (NN1) IS (VBZ) TIGHT (RR_JJ) . (.) 452 9 INFORMATION (NN1) CONTAINED (VVD_VVN) THEREIN (RR) . (.) 408
10 INVESTIGATION (NN1) IS (VBZ) UNDERWAY (RR) . (.) 377
11 JOB (NN1) DONE (VDN) QUICKLY (RR) . (.) 347
12 BUSINESS (NN1) RUNNING (VVG_NN1) SMOOTHLY (RR) . (.) 331
13 TIME (NNT1) DOING (VDG) SO (RR) . (.) 330
14 THINGS (NN2) GO (VV0) WELL (RR) . (.) 317
15 MINDS (NN2) THINK (VV0) ALIKE (RR_JJ) . (.) 314 16 THINGS (NN2) GET (VV0) BETTER (RRR_JJR) . (.) 299 17 POWER (NN1) CORRUPTS (VVZ_NN2) ABSOLUTELY (RR) . (.) 298 18 SPACE (NN1) IS (VBZ) TIGHT (RR_JJ) . (.) 282 19 MEANS (NN) DO (VD0) SO (RR) . (.) 282
20 ELDER (NN1_JJR) SCROLLS (VVZ_NN2) ONLINE (RR_JJ) . (.) 266
21 MOTION (NN1) CARRIED (VVD_VVN) UNANIMOUSLY (RR) . (.) 238
22 MOTION (NN1) PASSED (VVD_VVN) UNANIMOUSLY (RR) . (.) 237
23 HEART (NN1) BEAT (VVD_VV0) FASTER (RRR_JJR) . (.) 233
24 PEOPLE (NN) FEEL (VVI) BETTER (RRR_JJR) . (.) 223
25 JOB (NN1) DONE (VDN) WELL (RR) . (.) 220
26 THINGS (NN2) GOING (VVG) WRONG (RR) . (.) 213
27 QUESTION (NN1) IS (VBZ) WHEN (RRQ) . (.) 211 28 OTHERS (NN2) DO (VD0) TOO (RR@) . (.) 209 29 OTHERS (NN2) WILL (VM) TOO (RR@) . (.) 207 30 SEASON (NNT1) GETS (VVZ) UNDERWAY (RR) . (.) 188 31 THINGS (NN2) GOT (VVD_VVN) BETTER (RRR_JJR) . (.) 182 32 MONEY (NN1) DOING (VDG) SO (RR) . (.) 179
33 INFORMATION (NN1) PROVIDED (VVD_VVN_CS) HEREIN (RR) . (.) 179
34 SYSTEM (NN1) WORKS (VVZ) WELL (RR) . (.) 177
35 BUDGET (NN1) IS (VBZ) TIGHT (RR_JJ) . (.) 176 36 JOB (NN1) DONE (VDN) FASTER (RRR) . (.) 174 37 QUESTION (NN1) IS (VBZ) WHY (RRQ) . (.) 173 38 DETAILS (NN2) COMING (VVG) SOON (RR) . (.) 171
39 MONEY (NN1) WAS (VBDZ) TIGHT (RR_JJ) . (.) 161
40 PROCESS (NN1) GOES (VVZ) SMOOTHLY (RR) . (.) 160
41 OPERATIONS (NN2) RUNNING (VVG) SMOOTHLY (RR) . (.) 159
42 MIGHT (NN1%) MAKES (VVZ) RIGHT (RR_NN1_JJ) . (.) 158 43 PROCESS (NN1) IS (VBZ) UNDERWAY (RR) . (.) 157 44 FUN (NN1_JJ) DOING (VDG) SO (RR) . (.) 157 45 WORK (NN1) DONE (VDN) FASTER (RRR) . (.) 154 46 CONDITIONS (NN2) CONTAINED (VVD_VVN) HEREIN (RR) . (.) 152
47 WORK (NN1) IS (VBZ) UNDERWAY (RR) . (.) 150
48 THINGS (NN2) DONE (VDN) QUICKLY (RR) . (.) 142
49 THINGS (NN2) WENT (VVD) WELL (RR) . (.) 142
50 PROJECT (NN1) IS (VBZ) UNDERWAY (RR) . (.) 140
51 THINGS (NN2) RUN (VV0_VVN) SMOOTHLY (RR) . (.) 139
52 STATEMENTS (NN2) MADE (VVD_VVN) HEREIN (RR) . (.) 139 53 HEART (NN1) BE (VBI) ALSO (RR) . (.) 137
54 INFORMATION (NN1) COMING (VVG) SOON (RR) . (.) 136
55 COUPLES (NN2) FILING (VVG) JOINTLY (C1)(RR) . (.) 134
56 MONEY (NN1) GO (VVI) FURTHER (RRR) . (.) 133 57 STATEMENTS (NN2) CONTAINED (VVD_VVN) HEREIN (RR) . (.) 132 58 ANSWER (NN1) IS (VBZ) MAYBE (RR) . (.) 131 59 EVIDENCE (NN1) SUGGESTS (VVZ) OTHERWISE (RR) . (.) 130
60 EVENTS (NN2) COMING (VVG) SOON (RR) . (.) 130
61 SYSTEM (NN1) RUNNING (VVG_NN1) SMOOTHLY (RR) . (.) 129
62 THINGS (NN2) GO (VV0) SMOOTHLY (RR) . (.) 129
63 PEOPLES (NN2) LIVES (VVZ_NN2) BETTER (RRR_JJR) . (.) 128
64 THINGS (NN2) GO (VV0) RIGHT (RR_NN1_JJ) . (.) 127
65 PROCESS (NN1) WENT (VVD) SMOOTHLY (RR) . (.) 127
66 BUDGETS (NN2) ARE (VBR) TIGHT (RR_JJ) . (.) 126
67 JOB (NN1) DONE (VDN) FAST (RR) . (.) 126
68 THINGS (NN2) DONE (VDN) FASTER (RRR) . (.) 126
69 THINGS (NN2) GO (VVI) WRONG (RR) . (.) 125
70 JOB DONE PROPERLY (B1) . 125
1 GET (VVI ) 189
2 GET (VV0 ) 30
3 GETTING (VVG ) 28
71 TIME (NNT1) STANDS (VVZ_NN2) STILL (RR) . (.) 119
72 QUESTION (NN1) IS (VBZ) HOW (RRQ) . (.) 118 73 ROOTS (NN2) RUN (VV0_VVN) DEEP (RR_JJ) . (.) 115 74 CONNECTIONS (NN2) ARE (VBR) TIGHT (RR_JJ) . (.) 115 75 DATE (NN1) GETS (VVZ) CLOSER (RRR_JJR) . (.) 113 76 REGULATIONS (NN2) PROMULGATED (VVN_VVD@) THEREUNDER (RR) . (.) 112 77 PEOPLE (NN) DO (VD0) TOO (RR@) . (.) 110 78 DAY (NNT1) IS (VBZ) ENOUGH (RR) . (.) 107
79 RIGHTS (NN2) GRANTED (VVD_VVN) HEREIN (RR) . (.) 107
80 SURGERY (NN1) WENT (VVD) WELL (RR) . (.) 106
81 PROBLEM (NN1) DOING (VDG) SO (RR) . (.) 105 82 AUDIENCE (NN1) WANTING (VVG) MORE (RRR_DAR) . (.) 104
83 INVESTIGATION (NN1) WAS (VBDZ) UNDERWAY (RR) . (.) 104
84 OPERATIONS (NN2) RUN (VV0_VVN) SMOOTHLY (RR) . (.) 104
85 LINES (NN2) ARE (VBR) PARALLEL (RR_JJ) . (.) 103 86 CONTENT (NN1) CONTAINED (VVD_VVN) THEREIN (RR) . (.) 103
87 ARMS (NN2) ARE (VBR) STRAIGHT (RR_JJ) . (.) 101
88 THINGS (NN2) GO (VV0) BADLY (RR) . (.) 100
89 THINGS (NN2) GET (VV0) HARD (RR_JJ) . (.) 99
90 PEOPLE (NN) THINK (VV0) SO (RR) . (.) 99
91 PROCESS (NN1) RUN (VVN_NN1_VV0) SMOOTHLY (RR) . (.) 97
92 OTHERS (NN2) WOULD (VM) TOO (RR@) . (.) 97
93 CHARGES (NN2) RELATED (VVD_VVN) THERETO (RR) . (.) 96
94 JOB (NN1) DONE (VDN) EFFICIENTLY (RR) . (.) 96
95 HAIR (NN1) GROW (VVI) FASTER (RRR_JJR) . (.) 95 96 CYCLE (NN1) BEGINS (VVZ) ANEW (RR) . (.) 95 97 TRANSACTIONS (NN2) CONTEMPLATED (VVD_VVN) HEREBY (RR) . (.) 93 98 WEEK (NNT1) IS (VBZ) ENOUGH (RR) . (.) 93
99 ONES (NN2) WORK (VV0) BEST (RRT) . (.) 92
100 THINGS (NN2) RUN (VVI) SMOOTHLY (RR) . (.) 92