Describing Imprecise Numbers, Quantities, Amounts, and Measurements in English ๐Ÿงฎ๐Ÿ”ข๐Ÿ“Š

5,134 views

2024-11-05 ใƒป Learn English with Bob the Canadian


New videos

Describing Imprecise Numbers, Quantities, Amounts, and Measurements in English ๐Ÿงฎ๐Ÿ”ข๐Ÿ“Š

5,134 views ใƒป 2024-11-05

Learn English with Bob the Canadian


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋ฒˆ์—ญ๋œ ์ž๋ง‰์€ ๊ธฐ๊ณ„ ๋ฒˆ์—ญ๋ฉ๋‹ˆ๋‹ค.

00:00
There are two silos behind me.
0
600
1745
๋‚ด ๋’ค์—๋Š” ๋‘ ๊ฐœ์˜ ์‚ฌ์ผ๋กœ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
00:02
This silo is 20 meters tall, give or take.
1
2346
2825
์ด ์‚ฌ์ผ๋กœ๋Š” ๋†’์ด๊ฐ€ 20๋ฏธํ„ฐ์ž…๋‹ˆ๋‹ค.
00:05
This silo is 30 meters tall, give or take.
2
5172
2892
์ด ์‚ฌ์ผ๋กœ๋Š” ๋†’์ด๊ฐ€ 30๋ฏธํ„ฐ์ž…๋‹ˆ๋‹ค.
00:08
You'll notice I'm using the English phrase give
3
8065
2440
๋‚ด๊ฐ€ ์˜์–ด ํ‘œํ˜„์ธ give or take๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
00:10
or take because I'm giving you an imprecise
4
10506
3015
์™œ๋ƒํ•˜๋ฉด ์ œ๊ฐ€
00:13
measurement of the height of the silo.
5
13522
2655
์‚ฌ์ผ๋กœ์˜ ๋†’์ด๋ฅผ ๋ถ€์ •ํ™•ํ•˜๊ฒŒ ์ธก์ •ํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.
00:16
In English, when we are imprecise, when we
6
16178
2303
์˜์–ด์—์„œ๋Š” ์ •ํ™•ํ•˜์ง€ ์•Š์„ ๋•Œ,
00:18
are talking about numbers or temperature or things
7
18482
2671
์ˆซ์ž๋‚˜ ์˜จ๋„ ๋˜๋Š” ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•  ๋•Œ
00:21
we can measure, we sometimes use phrases so
8
21154
2559
00:23
people know we are saying approximately.
9
23714
2935
์‚ฌ๋žŒ๋“ค์ด ๋Œ€๋žต์ ์œผ๋กœ ๋งํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋„๋ก ๊ฐ€๋” ๋ฌธ๊ตฌ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
00:26
This silo might be a little taller or a little shorter
10
26650
2683
์ด ์‚ฌ์ผ๋กœ๋Š” ๊ทธ๊ฒƒ๋ณด๋‹ค ์กฐ๊ธˆ ๋” ๋†’์„ ์ˆ˜๋„ ์žˆ๊ณ  ์กฐ๊ธˆ ๋” ์งง์„ ์ˆ˜๋„ ์žˆ์ง€๋งŒ
00:29
than that, but I think it's 20 meters, give or take.
11
29334
3386
, ๋Œ€๋žต 20๋ฏธํ„ฐ๋Š” ๋  ๊ฒƒ ๊ฐ™์•„์š”.
00:32
It's approximately 20 meters.
12
32721
2076
์•ฝ 20๋ฏธํ„ฐ ์ •๋„ ๋ฉ๋‹ˆ๋‹ค.
00:34
So in this English lesson, I will teach you 10 phrases,
13
34798
2984
๊ทธ๋ž˜์„œ ์ด๋ฒˆ ์˜์–ด ๋ ˆ์Šจ์—์„œ๋Š”
00:37
10 phrases that you can use when you are talking about
14
37783
3078
00:40
things you can measure or count in an imprecise way.
15
40862
3443
๋ถ€์ •ํ™•ํ•œ ๋ฐฉ์‹์œผ๋กœ ์ธก์ •ํ•˜๊ฑฐ๋‚˜ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ๋งํ•  ๋•Œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” 10๊ฐ€์ง€ ํ‘œํ˜„์„ ๊ฐ€๋ฅด์ณ ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.
00:50
So you might have noticed that
16
50885
1376
๊ทธ๋ž˜์„œ ์ œ๊ฐ€ ์˜ค๋Š˜ ์žฌํ‚ท์„ ์ž…๊ณ  ์žˆ๋‹ค๋Š” ๊ฑธ ๋ˆˆ์น˜์ฑ„์…จ์„ ์ˆ˜๋„ ์žˆ๊ฒ ๋„ค์š”
00:52
I'm wearing a jacket today.
17
52262
2015
. ์ด์ œ
00:54
You might have noticed that it's not
18
54278
1809
00:56
summer anymore here, it's definitely fall.
19
56088
2911
์ด๊ณณ์€ ๋” ์ด์ƒ ์—ฌ๋ฆ„์ด ์•„๋‹ˆ๋ผ ํ™•์‹คํžˆ ๊ฐ€์„์ด๋ผ๋Š” ๊ฒƒ์„ ๋ˆˆ์น˜์ฑ„์…จ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‚˜
00:59
If you were to ask me what the
20
59000
1663
์—๊ฒŒ ์˜จ๋„๊ฐ€ ์–ด๋– ๋ƒ๊ณ  ๋ฌป๋Š”๋‹ค๋ฉด
01:00
temperature is, I might say something like this.
21
60664
2871
๋‚˜๋Š” ์ด๋ ‡๊ฒŒ ๋Œ€๋‹ตํ•  ๊ฒƒ์ด๋‹ค.
01:03
I think it's just over 10 degrees Celsius.
22
63536
2855
์˜ํ•˜ 10๋„๊ฐ€ ์กฐ๊ธˆ ๋„˜๋Š” ๊ฒƒ ๊ฐ™์•„์š”.
01:06
Or I might say, oh, I think it's just under
23
66392
2455
์•„๋‹ˆ๋ฉด '์•„,
01:08
10 degrees Celsius, because I don't know the exact temperature,
24
68848
3999
์„ญ์”จ 10๋„ ๋ฏธ๋งŒ์ธ ๊ฒƒ ๊ฐ™์•„์š”. ์ •ํ™•ํ•œ ์˜จ๋„๋Š” ๋ชจ๋ฅด์ง€๋งŒ
01:12
but I can make a pretty good guess.
25
72848
2631
๊ฝค ๊ทธ๋Ÿด๋“ฏํ•œ ์ถ”์ธก์€ ํ•  ์ˆ˜ ์žˆ์œผ๋‹ˆ๊นŒ์š”.'๋ผ๊ณ  ๋งํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.
01:15
When I'm wearing a jacket and I'm
26
75480
1887
์žฌํ‚ท์„ ์ž…๊ณ  ํŽธ์•ˆํ•  ๋•Œ๋Š”
01:17
comfortable, it's usually just over 10 degrees
27
77368
2595
๋ณดํ†ต ์„ญ์”จ 10๋„๊ฐ€ ์กฐ๊ธˆ ๋„˜
01:19
Celsius or just under 10 degrees Celsius.
28
79964
3179
๊ฑฐ๋‚˜ 10๋„๊ฐ€ ์กฐ๊ธˆ ์•ˆ๋˜๋Š” ์ •๋„์ž…๋‹ˆ๋‹ค.
01:23
So again, when we're talking about things like the
29
83144
2047
๋‹ค์‹œ ํ•œ๋ฒˆ ๋ง์”€๋“œ๋ฆฌ์ง€๋งŒ, ๋‚ ์”จ๋‚˜ ๊ธฐ์˜จ ๊ฐ™์€ ๊ฒƒ์— ๊ด€ํ•ด ์ด์•ผ๊ธฐํ•  ๋•Œ
01:25
weather, the temperature, when we don't know the exact
30
85192
2863
, ์ •ํ™•ํ•œ ๊ธฐ์˜จ์„ ๋ชจ๋ฅผ ๋•Œ๋Š”
01:28
temperature, you can use phrases like just over or
31
88056
3159
just over ๋˜๋Š” just under์™€ ๊ฐ™์€ ํ‘œํ˜„์„ ์‚ฌ์šฉํ•˜์—ฌ
01:31
just under to give your best guess.
32
91216
2999
์ตœ์„ ์˜ ์ถ”์ธก์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
01:34
So sometimes I'm home with the kids
33
94216
1831
๊ทธ๋ž˜์„œ ๋•Œ๋•Œ๋กœ ๋‚˜๋Š” ์•„์ด๋“ค๊ณผ ํ•จ๊ป˜ ์ง‘์— ์žˆ๊ณ 
01:36
and Jen's off doing some errands.
34
96048
2375
Jen์€ ์‹ฌ๋ถ€๋ฆ„์„ ํ•˜๋Ÿฌ ๋‚˜๊ฐ‘๋‹ˆ๋‹ค.
01:38
And sometimes the kids might say,
35
98424
1479
๊ทธ๋ฆฌ๊ณ  ๋•Œ๋•Œ๋กœ ์•„์ด๋“ค์€
01:39
when will mom be home?
36
99904
1447
์—„๋งˆ๊ฐ€ ์–ธ์ œ ์ง‘์— ์˜ค๋‚˜์š”?๋ผ๊ณ  ๋งํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.
01:41
And I will say, in about 10
37
101352
1751
๊ทธ๋ฆฌ๊ณ  ๋Œ€๋žต 10
01:43
minutes or in about an hour.
38
103104
2007
๋ถ„ ๋˜๋Š” ๋Œ€๋žต 1์‹œ๊ฐ„ ํ›„์— ๋งํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
01:45
When you use the word about in front of a
39
105112
2159
์ˆซ์ž ์•ž์— about์ด๋ผ๋Š” ๋‹จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด
01:47
number, you are saying that it is a good guess.
40
107272
2999
๊ทธ๊ฒƒ์ด ์ข‹์€ ์ถ”์ธก์ด๋ผ๋Š” ๋œป์ž…๋‹ˆ๋‹ค.
01:50
You're saying that it is an approximate number.
41
110272
2925
๋Œ€๋žต์ ์ธ ์ˆ˜์น˜๋ผ๊ณ  ๋ง์”€ํ•˜์‹œ๋„ค์š”.
01:53
I don't know exactly when Jen's going to be
42
113198
2647
Jen์ด ์–ธ์ œ ์ง‘์— ์˜ฌ์ง€๋Š” ์ •ํ™•ํžˆ ๋ชจ๋ฅด๊ฒ ์ง€๋งŒ
01:55
home, but I have a pretty good idea.
43
115846
2551
๊ฝค ์ข‹์€ ์ƒ๊ฐ์€ ์žˆ์–ด์š”.
01:58
Usually I know what errands she's doing
44
118398
2007
๋ณดํ†ต ๋‚˜๋Š” ๊ทธ๋…€๊ฐ€ ๋ฌด์Šจ ์ผ์„ ํ•˜๋Š”์ง€
02:00
and how long that will take.
45
120406
1391
, ๊ทธ ์ผ์ด ์–ผ๋งˆ๋‚˜ ์˜ค๋ž˜ ๊ฑธ๋ฆฌ๋Š”์ง€ ์•Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
02:01
So I'll answer with the word about.
46
121798
2175
๊ทธ๋ž˜์„œ ๋‚˜๋Š” about์ด๋ผ๋Š” ๋‹จ์–ด๋กœ ๋Œ€๋‹ตํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
02:03
She'll be home in about 10 minutes.
47
123974
1655
๊ทธ๋…€๋Š” ์•ฝ 10๋ถ„ ํ›„์— ์ง‘์— ์˜ฌ ๊ฒƒ์ด๋‹ค.
02:05
She'll be home in about an hour.
48
125630
2375
๊ทธ๋…€๋Š” ์•ฝ ํ•œ ์‹œ๊ฐ„ ํ›„์— ์ง‘์— ์˜ฌ ๊ฒƒ์ด๋‹ค.
02:08
So last weekend I got to go
49
128006
1775
๊ทธ๋ž˜์„œ ์ง€๋‚œ ์ฃผ๋ง์—
02:09
to Toronto to a YouTube event.
50
129782
1503
YouTube ์ด๋ฒคํŠธ์— ์ฐธ์„ํ•˜๊ธฐ ์œ„ํ•ด ํ† ๋ก ํ† ๋กœ ๊ฐ€์•ผ ํ–ˆ์Šต๋‹ˆ๋‹ค.
02:11
I'll put a picture or two here for you to see.
51
131286
3103
์—ฌ๋Ÿฌ๋ถ„์ด ๋ณผ ์ˆ˜ ์žˆ๋„๋ก ์—ฌ๊ธฐ์— ์‚ฌ์ง„ ํ•œ๋‘ ์žฅ์„ ์˜ฌ๋ ค ๋†“๊ฒ ์Šต๋‹ˆ๋‹ค.
02:14
And when I got home, Jen
52
134390
1519
๊ทธ๋ฆฌ๊ณ  ์ง‘์— ๋„์ฐฉํ–ˆ์„ ๋•Œ Jen์€
02:15
asked how many people were there?
53
135910
1455
๊ฑฐ๊ธฐ์— ์‚ฌ๋žŒ์ด ๋ช‡ ๋ช…์ด๋ƒ๊ณ  ๋ฌผ์—ˆ์Šต๋‹ˆ๋‹ค.
02:17
And I said, I think there
54
137366
783
๊ทธ๋ฆฌ๊ณ  ์ €๋Š”
02:18
were close to 200 people there.
55
138150
1959
๊ฑฐ๊ธฐ์— ๊ฑฐ์˜ 200๋ช… ์ •๋„ ์žˆ์—ˆ๋˜ ๊ฒƒ ๊ฐ™์•„์š”.
02:20
So when you go to an event where there's lots
56
140110
2131
๋”ฐ๋ผ์„œ ์‚ฌ๋žŒ์ด ๋งŽ์€ ํ–‰์‚ฌ์— ๊ฐˆ ๋•Œ ๋ฐ˜๋“œ์‹œ
02:22
of people, you don't necessarily count all the people.
57
142242
3311
๋ชจ๋“  ์‚ฌ๋žŒ์„ ์…€ ํ•„์š”๋Š” ์—†์Šต๋‹ˆ๋‹ค.
02:25
That would be silly.
58
145554
1055
๊ทธ๊ฒƒ์€ ์–ด๋ฆฌ์„์€ ์ผ์ž…๋‹ˆ๋‹ค.
02:26
But when you look around, you kind of get a
59
146610
2343
ํ•˜์ง€๋งŒ ์ฃผ์œ„๋ฅผ ๋‘˜๋Ÿฌ๋ณด๋ฉด
02:28
good idea as to how many people were there.
60
148954
3047
๊ฑฐ๊ธฐ์— ์–ผ๋งˆ๋‚˜ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด ์žˆ์—ˆ๋Š”์ง€ ์•Œ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
02:32
And I think from talking to people and
61
152002
2631
๊ทธ๋ฆฌ๊ณ  ์‚ฌ๋žŒ๋“ค๊ณผ ์ด์•ผ๊ธฐ๋ฅผ ๋‚˜๋ˆ„๊ณ 
02:34
knowing how many people were invited, I think
62
154634
1839
์ดˆ๋Œ€๋ฐ›์€ ์‚ฌ๋žŒ์ด ๋ช‡ ๋ช…์ธ์ง€ ์•Œ๋ฉด
02:36
there were close to 200 people.
63
156474
1859
200๋ช… ๊ฐ€๊นŒ์ด ์žˆ์—ˆ๋˜ ๊ฒƒ ๊ฐ™์•„์š”.
02:38
Now, let's say someone told me they invited 200
64
158334
3211
์ž, ์–ด๋–ค ์‚ฌ๋žŒ์ด ๋‚˜์—๊ฒŒ 200๋ช…์„ ์ดˆ๋Œ€ํ–ˆ๋Š”๋ฐ
02:41
people and there was obviously more than that.
65
161546
2983
๋ถ„๋ช…ํžˆ ๊ทธ๋ณด๋‹ค ๋” ๋งŽ์€ ์‚ฌ๋žŒ์ด ์žˆ์—ˆ๋‹ค๊ณ  ๋งํ–ˆ๋‹ค๊ณ  ๊ฐ€์ •ํ•ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
02:44
I would probably say, oh, I think
66
164530
1479
์•„๋งˆ '์•„,
02:46
there were more than 200 people there.
67
166010
1928
๊ฑฐ๊ธฐ์—” 200๋ช…์ด ๋„˜๋Š” ์‚ฌ๋žŒ์ด ์žˆ์—ˆ๋˜ ๊ฒƒ ๊ฐ™์•„'๋ผ๊ณ  ๋งํ•  ๊ฒƒ ๊ฐ™์•„์š”.
02:47
So when you say close to 200, it means you're
68
167939
3484
๋”ฐ๋ผ์„œ 200์— ๊ฐ€๊นŒ์› ๋‹ค๊ณ  ํ•˜๋ฉด
02:51
guessing that there were a little bit less than that.
69
171424
2479
๊ทธ๋ณด๋‹ค ์กฐ๊ธˆ ๋” ์ ์—ˆ๋‹ค๊ณ  ์ถ”์ธกํ•œ๋‹ค๋Š” ์˜๋ฏธ์ž…๋‹ˆ๋‹ค.
02:53
If you say there were more than 200, you're
70
173904
2159
200๊ฐœ๊ฐ€ ๋„˜์—ˆ๋‹ค๊ณ  ํ•˜๋ฉด
02:56
thinking there was probably a few more than that.
71
176064
2583
์•„๋งˆ๋„ ๊ทธ๋ณด๋‹ค ๋ช‡ ๊ฐœ ๋” ์žˆ์—ˆ๋‹ค๊ณ  ์ƒ๊ฐํ•˜์‹ค ๊ฒƒ์ž…๋‹ˆ๋‹ค.
02:58
So when you're talking in imprecise ways about the
72
178648
2911
๋”ฐ๋ผ์„œ ํ–‰์‚ฌ์— ์ฐธ์„ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ์ˆ˜์— ๋Œ€ํ•ด ๋ถ€์ •ํ™•ํ•œ ๋ฐฉ์‹์œผ๋กœ ๋งํ•  ๋•Œ๋Š”
03:01
amount of people at an event, you can say
73
181560
2231
03:03
close to or you can say more than.
74
183792
2607
close to ๋˜๋Š” more more๋ผ๊ณ  ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:06
While I was at the YouTube event, Jen and one
75
186400
2591
์ œ๊ฐ€ YouTube ์ด๋ฒคํŠธ์— ์ฐธ์„ํ•˜๋Š” ๋™์•ˆ Jen๊ณผ
03:08
of my kids went to the Royal Agricultural Winter Fair.
76
188992
3751
์ œ ์•„์ด๋“ค ์ค‘ ํ•œ ๋ช…์ด ์™•๋ฆฝ ๋†์—… ๊ฒจ์šธ ๋ฐ•๋žŒํšŒ์— ๊ฐ”์Šต๋‹ˆ๋‹ค.
03:12
And while they were there, they saw a dog show.
77
192744
2551
๊ทธ๋ฆฌ๊ณ  ๊ทธ๋“ค์ด ๊ทธ๊ณณ์— ์žˆ๋Š” ๋™์•ˆ ๊ทธ๋“ค์€ ๊ฐœ ์‡ผ๋ฅผ ๋ณด์•˜์Šต๋‹ˆ๋‹ค.
03:15
And a question you could ask about a dog
78
195296
2101
๊ทธ๋ฆฌ๊ณ  ๊ฐœ ์‡ผ์— ๋Œ€ํ•ด ๋ฌผ์–ด๋ณผ ์ˆ˜ ์žˆ๋Š” ์งˆ๋ฌธ์€
03:17
show is how many dogs were in the show.
79
197398
2743
๊ทธ ์‡ผ์— ์–ผ๋งˆ๋‚˜ ๋งŽ์€ ๊ฐœ๊ฐ€ ์žˆ์—ˆ๋Š๋ƒ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:20
Now, Jen didn't count all of them, but she could respond
80
200142
2607
์ด์ œ Jen์€ ๊ทธ ์ˆ˜๋ฅผ ๋ชจ๋‘ ์„ธ์ง€๋Š” ์•Š์•˜์ง€๋งŒ
03:22
by saying there were 10 or so dogs in the show,
81
202750
2926
์‡ผ์— 10๋งˆ๋ฆฌ ์ •๋„์˜ ๊ฐœ๊ฐ€ ์žˆ์—ˆ๋‹ค
03:25
or there were 10 or more dogs in the show.
82
205677
2840
๊ฑฐ๋‚˜ ์‡ผ์— 10๋งˆ๋ฆฌ ์ด์ƒ์˜ ๊ฐœ๊ฐ€ ์žˆ์—ˆ๋‹ค๊ณ  ๋Œ€๋‹ตํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
03:28
So again, this is an imprecise way
83
208518
2647
๋‹ค์‹œ ๋งํ•˜์ง€๋งŒ, ์ด๊ฒƒ์€
03:31
to give a number to someone.
84
211166
1567
๋ˆ„๊ตฐ๊ฐ€์—๊ฒŒ ๋ฒˆํ˜ธ๋ฅผ ์•Œ๋ ค์ฃผ๋Š” ๋ถ€์ •ํ™•ํ•œ ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.
03:32
Jen didn't know exactly how many dogs were in the show, but
85
212734
3399
Jen์€ ์‡ผ์— ์ •ํ™•ํžˆ ๋ช‡ ๋งˆ๋ฆฌ์˜ ๊ฐœ๊ฐ€ ์žˆ์—ˆ๋Š”์ง€ ๋ชฐ๋ž์ง€๋งŒ,
03:36
she could answer by saying, oh, there were 10 or so dogs,
86
216134
2972
์•„, ๊ฐœ๊ฐ€ 10๋งˆ๋ฆฌ ์ •๋„ ์žˆ์—ˆ๊ฑฐ๋‚˜,
03:39
or there were 10 or more dogs in the dog show.
87
219107
3598
๋˜๋Š” ๋„๊ทธ ์‡ผ์— ๊ฐœ๊ฐ€ 10๋งˆ๋ฆฌ ์ด์ƒ ์žˆ์—ˆ๋‹ค๊ณ  ๋Œ€๋‹ตํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
03:42
Another imprecise way of counting things is
88
222706
2639
์‚ฌ๋ฌผ์„ ์„ธ๋Š” ๋˜ ๋‹ค๋ฅธ ๋ถ€์ •ํ™•ํ•œ ๋ฐฉ๋ฒ•์€
03:45
to say more than you can count.
89
225346
2423
์…€ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ๋ณด๋‹ค ๋” ๋งŽ์ด ๋งํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:47
There are seagulls flying around in the air behind me.
90
227770
3103
๋‚ด ๋’ค์—๋Š” ๊ฐˆ๋งค๊ธฐ๋“ค์ด ๊ณต์ค‘์— ๋‚ ์•„๋‹ค๋‹ˆ๊ณ  ์žˆ๋‹ค.
03:50
I'm not sure if you can see them all,
91
230874
1591
๋‹ค ๋ณผ ์ˆ˜ ์žˆ์„์ง€๋Š” ๋ชจ๋ฅด๊ฒ ์ง€๋งŒ,
03:52
but if you were to ask how many, I
92
232466
2175
๋ช‡ ๊ฐœ์ธ์ง€ ๋ฌป๋Š”๋‹ค๋ฉด
03:54
would probably say there's more than I can count.
93
234642
3039
์…€ ์ˆ˜ ์—†์„ ๋งŒํผ ๋งŽ๋‹ค๊ณ  ๋Œ€๋‹ตํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:57
If I was to take a good guess,
94
237682
1575
์ œ๊ฐ€ ์ถ”์ธก์„ ์ž˜ ํ•ด๋ณธ๋‹ค๋ฉด
03:59
I would say probably close to 100.
95
239258
2919
์•„๋งˆ๋„ 100์— ๊ฐ€๊นŒ์šธ ๊ฒƒ์ด๋ผ๊ณ  ๋งํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
04:02
But I would probably say, no, there
96
242178
1951
ํ•˜์ง€๋งŒ ์•„๋งˆ๋„ ์•„๋‹ˆ์š”,
04:04
was just more than I could count.
97
244130
2055
์ œ๊ฐ€ ์…€ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ๋ณด๋‹ค ๋” ๋งŽ์€ ๊ฒƒ์ด ์žˆ์—ˆ๋‹ค๊ณ  ๋งํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ๋ฐ”๋‹ค ๊ฐ€๊นŒ์ด ์‚ด์ง€ ์•Š๋Š”๋ฐ
04:06
You might be wondering why there's seagulls here
98
246186
2047
์™œ ์—ฌ๊ธฐ์— ๊ฐˆ๋งค๊ธฐ๊ฐ€ ์žˆ๋Š”์ง€ ๊ถ๊ธˆํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค
04:08
when we don't live close to the sea.
99
248234
1951
.
04:10
Well, seagulls love it when farmers work up soil.
100
250186
3685
๊ฐˆ๋งค๊ธฐ๋Š” ๋†๋ถ€๋“ค์ด ํ™์„ ์ผ๊ตฌ๋Š” ๊ฒƒ์„ ์ข‹์•„ํ•ฉ๋‹ˆ๋‹ค.
04:13
They come and they look for mice and worms to eat.
101
253872
2751
๊ทธ๋“ค์€ ์™€์„œ ๋จน์„ ์ฅ์™€ ๋ฒŒ๋ ˆ๋ฅผ ์ฐพ์Šต๋‹ˆ๋‹ค.
04:16
But right now, there's certainly more
102
256624
2287
ํ•˜์ง€๋งŒ ์ง€๊ธˆ ๋‹น์žฅ์€
04:18
seagulls than I can count.
103
258912
2383
๋‚ด๊ฐ€ ์…€ ์ˆ˜ ์—†์„ ์ •๋„๋กœ ๊ฐˆ๋งค๊ธฐ๊ฐ€ ํ™•์‹คํžˆ ๋” ๋งŽ์Šต๋‹ˆ๋‹ค.
04:21
When talking about imprecise numbers, you'll probably hear the
104
261296
2935
๋ถ€์ •ํ™•ํ•œ ์ˆซ์ž์— ๊ด€ํ•ด ์ด์•ผ๊ธฐํ•  ๋•Œ,
04:24
word approximately and the word around a lot.
105
264232
3335
๋Œ€๋žต์ด๋ผ๋Š” ๋‹จ์–ด์™€ ์ฃผ๋ณ€์ด๋ผ๋Š” ๋‹จ์–ด๋ฅผ ๋งŽ์ด ๋“ฃ๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
04:27
When I go to the grocery store, there's
106
267568
1647
์‹๋ฃŒํ’ˆ์ ์— ๊ฐ€๋ณด๋‹ˆ
04:29
approximately 50 cars in the parking lot.
107
269216
2779
์ฃผ์ฐจ์žฅ์— ์ฐจ๊ฐ€ 50์—ฌ๋Œ€ ์ •๋„ ์žˆ๋”๊ตฐ์š”.
04:31
There's approximately 50 people in the store.
108
271996
2096
๋งค์žฅ์—๋Š” ์•ฝ 50๋ช… ์ •๋„๊ฐ€ ์žˆ์–ด์š”.
04:34
There's around 50 cars in the parking lot
109
274093
2397
์ฃผ์ฐจ์žฅ์—๋Š” ์ฐจ๊ฐ€ 50๋Œ€ ์ •๋„ ์žˆ๊ณ 
04:36
and there's around 50 people in the store.
110
276491
2608
, ๋งค์žฅ์—๋Š” ์‚ฌ๋žŒ์ด 50๋ช… ์ •๋„ ์žˆ์–ด์š”.
04:39
Canadians don't carpool very well, I guess.
111
279100
2551
์บ๋‚˜๋‹ค์ธ๋“ค์€ ์นดํ’€์„ ์ž˜ ์•ˆ ํ•˜๋Š” ๊ฒƒ ๊ฐ™์•„์š”.
04:41
But anyways, when you are giving an imprecise
112
281652
2359
๊ทธ๋Ÿฌ๋‚˜ ์–ด์จŒ๋“  ๋ถ€์ •ํ™•ํ•œ ์ˆซ์ž๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒฝ์šฐ์—๋Š”
04:44
number, that is probably the most common way.
113
284012
3151
์ด๊ฒƒ์ด ์•„๋งˆ๋„ ๊ฐ€์žฅ ์ผ๋ฐ˜์ ์ธ ๋ฐฉ๋ฒ•์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
04:47
If I go shopping at a busy time,
114
287164
1671
๋ฐ”์œ ์‹œ๊ฐ„์— ์‡ผํ•‘์„ ํ•˜๋Ÿฌ ๊ฐ€๋ฉด
04:48
there's approximately 100 cars in the parking lot.
115
288836
2435
์ฃผ์ฐจ์žฅ์— ์ฐจ๊ฐ€ 100๋Œ€ ์ •๋„ ์ฃผ์ฐจ๋˜์–ด ์žˆ์–ด์š”.
04:51
There's around 100 people in the store.
116
291272
2043
๋งค์žฅ์—๋Š” 100์—ฌ๋ช… ์ •๋„๊ฐ€ ์žˆ๋‹ค.
04:53
When I go really early in the morning,
117
293316
1935
์ •๋ง ์ด๋ฅธ ์•„์นจ์— ๊ฐ€๋ณด๋‹ˆ
04:55
there's approximately five cars in the parking lot
118
295252
2063
์ฃผ์ฐจ์žฅ์— ์ฐจ๊ฐ€ 5๋Œ€ ์ •๋„ ์žˆ๊ณ 
04:57
and there's around five people in the store.
119
297316
2583
, ๋งค์žฅ์—๋„ ์‚ฌ๋žŒ์ด 5๋ช… ์ •๋„ ์žˆ์–ด์š”.
04:59
That's the best time to go shopping.
120
299900
1839
์ด๋•Œ๊ฐ€ ์‡ผํ•‘ํ•˜๊ธฐ ๊ฐ€์žฅ ์ข‹์€ ์‹œ๊ธฐ์ž…๋‹ˆ๋‹ค.
05:01
So two very common words to use when
121
301740
2375
๋”ฐ๋ผ์„œ
05:04
giving an imprecise number, approximately, and around.
122
304116
3829
๋ถ€์ •ํ™•ํ•œ ์ˆซ์ž, ๋Œ€๋žต ๋ฐ ์ฃผ๋ณ€์„ ์ œ๊ณตํ•  ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ๋งค์šฐ ์ผ๋ฐ˜์ ์ธ ๋‘ ๋‹จ์–ด์ž…๋‹ˆ๋‹ค.
05:08
So Jen and I went to watch
123
308725
1512
๊ทธ๋ž˜์„œ Jen๊ณผ ์ €๋Š”
05:10
a few baseball games this summer.
124
310238
1815
์ด๋ฒˆ ์—ฌ๋ฆ„์— ์•ผ๊ตฌ ๊ฒฝ๊ธฐ๋ฅผ ๋ช‡ ๊ฐœ ๋ณด๋Ÿฌ ๊ฐ”์Šต๋‹ˆ๋‹ค.
05:12
We went to watch the Toronto Blue Jays, and every
125
312054
2647
์šฐ๋ฆฌ๋Š” ํ† ๋ก ํ†  ๋ธ”๋ฃจ์ œ์ด์Šค ๊ฒฝ๊ธฐ๋ฅผ ๋ณด๋Ÿฌ ๊ฐ”๋Š”๋ฐ,
05:14
time we went, the stadium was pretty much full.
126
314702
3287
๊ฐˆ โ€‹โ€‹๋•Œ๋งˆ๋‹ค ๊ฒฝ๊ธฐ์žฅ์ด ๊ฑฐ์˜ ๊ฝ‰ ์ฐผ์Šต๋‹ˆ๋‹ค.
05:17
There were roughly 40,000 people there.
127
317990
2607
๊ฑฐ๊ธฐ์—๋Š” ๋Œ€๋žต 40,000๋ช…์˜ ์‚ฌ๋žŒ๋“ค์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
05:20
The word roughly means that you
128
320598
1823
์ด ๋‹จ์–ด๋Š”
05:22
are giving an approximate number.
129
322422
1927
๋Œ€๋žต์ ์ธ ์ˆซ์ž๋ฅผ ์ œ๊ณตํ•œ๋‹ค๋Š” ์˜๋ฏธ์ž…๋‹ˆ๋‹ค.
05:24
I didn't count all the people in the stadium and
130
324350
2591
๊ฒฝ๊ธฐ์žฅ์— ์žˆ๋Š” ์‚ฌ๋žŒ์„ ๋ชจ๋‘ ์„ธ์ง€๋Š” ์•Š์•˜๊ณ , ํฐ ๋””์Šคํ”Œ๋ ˆ์ด์— ์˜ฌ๋ ธ์„ ๋•Œ
05:26
I don't remember exactly how many people they said were
131
326942
3151
์–ผ๋งˆ๋‚˜ ๋งŽ์€ ์‚ฌ๋žŒ์ด ์žˆ์—ˆ๋‹ค๊ณ  ํ–ˆ๋Š”์ง€ ์ •ํ™•ํžˆ ๊ธฐ์–ต๋‚˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค
05:30
there when they put it on the big display.
132
330094
2341
.
05:32
So if I was to describe it to someone, I
133
332436
2343
๊ทธ๋ž˜์„œ ์ œ๊ฐ€ ๋ˆ„๊ตฐ๊ฐ€์—๊ฒŒ ์„ค๋ช…ํ•œ๋‹ค๋ฉด
05:34
would say, oh, there were roughly 40,000 people here.
134
334780
3799
, ์•„, ์—ฌ๊ธฐ์—๋Š” ๋Œ€๋žต 40,000๋ช…์˜ ์‚ฌ๋žŒ๋“ค์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.
05:38
So again, roughly a great word to
135
338580
2103
๋‹ค์‹œ ํ•œ๋ฒˆ ๋ง์”€๋“œ๋ฆฌ์ง€๋งŒ,
05:40
use when you're giving an imprecise number.
136
340684
2671
๋ถ€์ •ํ™•ํ•œ ์ˆซ์ž๋ฅผ ์ œ๊ณตํ•  ๋•Œ ์‚ฌ์šฉํ•˜๊ธฐ ์ข‹์€ ๋Œ€๋žต์ ์ธ ๋‹จ์–ด์ž…๋‹ˆ๋‹ค.
05:43
When I go to Blue Jays
137
343356
1143
๋‚ด๊ฐ€ ๋ธ”๋ฃจ์ œ์ด์Šค ๊ฒฝ๊ธฐ์— ๊ฐ€๋ฉด
05:44
games, there's roughly 40,000 people there.
138
344500
2568
๋Œ€๋žต 4๋งŒ๋ช… ์ •๋„์˜ ์‚ฌ๋žŒ๋“ค์ด ๋ชจ์ธ๋‹ค.
05:47
I think the stadium seats just under 40,000, but that
139
347069
3830
๋‚˜๋Š” ๊ฒฝ๊ธฐ์žฅ ์ขŒ์„์ด 40,000๋ช… ๋ฏธ๋งŒ์ด๋ผ๊ณ  ์ƒ๊ฐํ•˜์ง€๋งŒ, ๊ทธ๊ฒƒ์€
05:50
would still be a good way to describe it.
140
350900
1975
์—ฌ์ „ํžˆ โ€‹โ€‹๊ทธ๊ฒƒ์„ ์„ค๋ช…ํ•˜๋Š” ์ข‹์€ ๋ฐฉ๋ฒ•์ด ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
05:52
Roughly 40,000 people.
141
352876
2479
๋Œ€๋žต 40,000๋ช… ์ •๋„์ž…๋‹ˆ๋‹ค.
05:55
So you probably have noticed that there are a lot
142
355356
2743
๊ทธ๋ž˜์„œ ์—ฌ๋Ÿฌ๋ถ„์€ ์•„๋งˆ๋„ ๋‚ด ์ฃผ๋ณ€ ๋•…์— ๋‚˜๋ญ‡์žŽ์ด ๋งŽ์ด ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ˆˆ์น˜์ฑ„์…จ์„ ๊ฒƒ์ด๊ณ ,
05:58
of leaves on the ground around me and you might
143
358100
2423
06:00
be wondering how many leaves are on the ground. And I.
144
360524
2799
๋•…์— ๋‚˜๋ญ‡์žŽ์ด ๋ช‡ ๊ฐœ๋‚˜ ์žˆ๋Š”์ง€ ๊ถ๊ธˆํ•˜์‹ค ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ €๋Š”.
06:03
I don't really know.
145
363324
839
์ž˜ ๋ชจ๋ฅด๊ฒ ์–ด์š”.
06:04
I would probably say somewhere around 3,000.
146
364164
2491
์•„๋งˆ 3,000์ •๋„ ๋  ๊ฒƒ ๊ฐ™์•„์š”.
06:07
That's a really imprecise guess, but that is the
147
367715
3680
๊ทธ๊ฒƒ์€ ์ •๋ง ๋ถ€์ •ํ™•ํ•œ ์ถ”์ธก์ž…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ๊ฒƒ์€
06:11
phrase I would use somewhere around, hey, Bob, how
148
371396
3663
์ œ๊ฐ€ ์–ด๋”˜๊ฐ€์—์„œ ์‚ฌ์šฉํ•  ๋ฌธ๊ตฌ์ž…๋‹ˆ๋‹ค. ๋ฐฅ,
06:15
many leaves are on the ground behind you? I don't know.
149
375060
2975
๋‹น์‹  ๋’ค์— ์žˆ๋Š” ๋•…์—๋Š” ๋‚˜๋ญ‡์žŽ์ด ๋ช‡ ๊ฐœ ์žˆ์Šต๋‹ˆ๊นŒ? ๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค.
06:18
Somewhere around 3,000, maybe somewhere around 4,000.
150
378036
3711
๋Œ€๋žต 3,000๋ช… ์ •๋„, ์•„๋งˆ๋„ 4,000๋ช… ์ •๋„์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
06:21
I don't actually know.
151
381748
1311
๋‚˜๋Š” ์‹ค์ œ๋กœ ๋ชจ๋ฅธ๋‹ค.
06:23
And then you might be wondering, hey, Bob, how
152
383060
2817
๊ทธ๋Ÿฌ๋ฉด ์—ฌ๋Ÿฌ๋ถ„์€ Bob,
06:25
many leaves are still up in that tree?
153
385878
2183
๊ทธ ๋‚˜๋ฌด์— ์•„์ง ๋‚˜๋ญ‡์žŽ์ด ๋ช‡ ๊ฐœ๋‚˜ ๋‚จ์•„ ์žˆ๋Š”์ง€ ๊ถ๊ธˆํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
06:28
And I would say, I don't know,
154
388062
1503
๊ทธ๋ฆฌ๊ณ  ์ €๋Š”
06:29
somewhere around 2000, somewhere around 5000.
155
389566
3935
๋Œ€๋žต 2000๋…„์ฏค, ๋Œ€๋žต 5000๋…„ ์ •๋„๋ผ๊ณ  ๋งํ•˜๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค.
06:33
I actually don't know.
156
393502
1311
์‹ค์ œ๋กœ๋Š” ๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค.
06:34
This is probably the most imprecise I
157
394814
2719
์ด๊ฒƒ์€ ์•„๋งˆ๋„
06:37
have been during this entire lesson.
158
397534
2519
์ด๋ฒˆ ์ˆ˜์—… ๋‚ด๋‚ด ๊ฐ€์žฅ ๋ถ€์ •ํ™•ํ•œ ๊ฒƒ ๊ฐ™์Šต๋‹ˆ๋‹ค.
06:40
But anyways, thank you so much for
159
400054
1519
ํ•˜์ง€๋งŒ ์–ด์จŒ๋“ 
06:41
watching this lesson on how to describe
160
401574
2839
06:44
imprecise numbers, quantities, measurements and amounts.
161
404414
3631
๋ถ€์ •ํ™•ํ•œ ์ˆซ์ž, ์ˆ˜๋Ÿ‰, ์น˜์ˆ˜ ๋ฐ ์–‘์„ ์„ค๋ช…ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์ด๋ฒˆ ๊ฐ•์˜๋ฅผ ์‹œ์ฒญํ•ด ์ฃผ์…”์„œ ์ •๋ง ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
06:48
I hope you were able to learn some new English
162
408046
2151
06:50
phrases that you can use in your next English conversation.
163
410198
2919
๋‹ค์Œ ์˜์–ด ๋Œ€ํ™”์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ์˜์–ด ๋ฌธ๊ตฌ๋ฅผ ๋ฐฐ์šธ ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉด ์ข‹๊ฒ ์Šต๋‹ˆ๋‹ค.
06:53
Thank you so much for watching.
164
413118
1161
์‹œ์ฒญํ•ด ์ฃผ์…”์„œ ์ •๋ง ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
06:54
Don't forget to leave a comment and have a great week.
165
414280
2511
๋Œ“๊ธ€ ์žŠ์ง€ ๋งˆ์‹œ๊ณ , ์ฆ๊ฑฐ์šด ํ•œ ์ฃผ ๋ณด๋‚ด์„ธ์š”.
06:56
Bye.
166
416792
183
์•ˆ๋…•.
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

https://forms.gle/WvT1wiN1qDtmnspy7