How much would you need to do the job properly?
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.
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.
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.
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
Pattern 2
_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