Talking to machines - 6 Minute English

73,359 views ใƒป 2018-06-07

BBC Learning English


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

00:07
Rob: Hello and welcome to 6 Minute
0
7880
2340
Rob: ์•ˆ๋…•ํ•˜์„ธ์š”. 6 Minute English์— ์˜ค์‹  ๊ฒƒ์„ ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค
00:10
English. I'm Rob.
1
10220
1040
. ์ €๋Š” ๋กญ์ž…๋‹ˆ๋‹ค.
00:11
Dan: And I'm Dan.
2
11260
1460
๋Œ„: ๊ทธ๋ฆฌ๊ณ  ์ €๋Š” ๋Œ„์ž…๋‹ˆ๋‹ค.
00:12
Rob: Hey Dan. Whatโ€™s the time?
3
12720
2020
๋กญ: ํ—ค์ด ๋Œ„. ์ง€๊ธˆ ๋ช‡์‹œ์•ผ?
00:14
Dan: Time you got a new watch?
4
14740
2500
๋Œ„: ์ƒˆ ์‹œ๊ณ„๋ฅผ ์‚ฐ ์‹œ๊ฐ„์€?
00:17
Rob: Now I didnโ€™t ask you that just for a
5
17240
2153
Rob:
00:19
joke or a sarcastic comment now did I?
6
19393
2067
์ด์ œ ์ œ๊ฐ€ ๋†๋‹ด์ด๋‚˜ ๋น„๊ผฌ๋Š” ๋ง์„ ํ•˜๋ ค๊ณ  ๋‹น์‹ ์—๊ฒŒ ์š”์ฒญํ•œ ๊ฒƒ์ด ์•„๋‹™๋‹ˆ๋‹ค.
00:21
Dan: Well no, but look thereโ€™s a clock over
7
21460
2380
๋Œ„: ์•„๋‹ˆ, ํ•˜์ง€๋งŒ
00:23
there, and you are wearing a watch, you
8
23840
1940
์ €๊ธฐ ์‹œ๊ณ„๊ฐ€ ์žˆ๊ณ , ์‹œ๊ณ„๋ฅผ ์ฐจ๊ณ  ์žˆ๊ณ ,
00:25
have a smartphone and a computer,
9
25780
2400
์Šค๋งˆํŠธํฐ๊ณผ ์ปดํ“จํ„ฐ๊ฐ€ ์žˆ๊ณ ,
00:28
all of which show the time.
10
28180
1660
๋ชจ๋‘ ์‹œ๊ฐ„์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
00:29
So why are you asking me?
11
29840
1970
๊ทธ๋ž˜์„œ ์™œ ๋‚˜ํ•œํ…Œ ๋ฌป๋Š”๊ฑฐ์•ผ?
00:31
Rob: Dan! I was trying to introduce todayโ€™s
12
31810
2530
๋กญ: ๋Œ„!
00:34
topic which is all about virtual assistants
13
34340
3100
๊ฐ€์ƒ ๋น„์„œ
00:37
or bots.
14
37440
1020
๋˜๋Š” ๋ด‡์— ๊ด€ํ•œ ์˜ค๋Š˜์˜ ์ฃผ์ œ๋ฅผ ์†Œ๊ฐœํ•˜๋ ค๊ณ  ํ–ˆ์Šต๋‹ˆ๋‹ค.
00:38
You seemed to have forgotten the script.
15
38460
2040
๋‹น์‹ ์€ ๋Œ€๋ณธ์„ ์žŠ์€ ๊ฒƒ ๊ฐ™์•˜์Šต๋‹ˆ๋‹ค.
00:40
Dan: Oh yes, sorry. Weโ€™re talking about
16
40500
2820
๋Œ„: ๋„ค, ์ฃ„์†กํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š”
00:43
software that you talk to and that can talk
17
43320
2680
๋‹น์‹ ์ด ๋งํ•˜๊ณ  ๋‹น์‹ ์—๊ฒŒ ๋‹ค์‹œ ๋งํ•  ์ˆ˜ ์žˆ๋Š” ์†Œํ”„ํŠธ์›จ์–ด์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค
00:46
back to you. Like Appleโ€™s Siri, Googleโ€™s
18
46000
2840
. ์• ํ”Œ์˜ ์‹œ๋ฆฌ, ๊ตฌ๊ธ€์˜
00:48
Assistant, Amazonโ€™s Alexa and
19
48840
2500
์–ด์‹œ์Šคํ„ดํŠธ, ์•„๋งˆ์กด์˜ ์•Œ๋ ‰์‚ฌ,
00:51
Microsoftโ€™s Cortana.
20
51340
2000
๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ์˜ ์ฝ”ํƒ€๋‚˜์ฒ˜๋Ÿผ ๋ง์ด๋‹ค.
00:53
It might be on your phone or computer or
21
53340
2680
์ „ํ™”๋‚˜ ์ปดํ“จํ„ฐ,
00:56
even a speaker in your house.
22
56020
2420
์‹ฌ์ง€์–ด ์ง‘์— ์žˆ๋Š” ์Šคํ”ผ์ปค์— ์žˆ์„ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.
00:58
Rob: Now before we hear more about this
23
58440
2374
Rob: ์ด์ œ ์ด ์ฃผ์ œ์— ๋Œ€ํ•ด ๋” ๋“ฃ๊ธฐ ์ „์—
01:00
topic, here is todayโ€™s quiz question:
24
60814
2445
์˜ค๋Š˜์˜ ํ€ด์ฆˆ ์งˆ๋ฌธ์ด ์žˆ์Šต๋‹ˆ๋‹ค.
01:03
Do you know when was the first computer
25
63260
3080
01:06
which could recognise speech, launched?
26
66340
2560
์Œ์„ฑ์„ ์ธ์‹ํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์ดˆ์˜ ์ปดํ“จํ„ฐ๊ฐ€ ์–ธ์ œ ์ถœ์‹œ๋˜์—ˆ๋Š”์ง€ ์•„์‹ญ๋‹ˆ๊นŒ?
01:08
Was it in a) 1951 b) 1961, or c) 1971.
27
68900
6240
a) 1951๋…„ b) 1961๋…„์ธ๊ฐ€ c) 1971๋…„์ธ๊ฐ€
01:15
Dan: I have found my script, so Iโ€™ve seen
28
75140
3080
01:18
the answer but I have to say I was
29
78220
2720
01:20
surprised.
30
80940
940
.
01:21
Rob: Don't tell anybody Dan, OK. Weโ€™ll give
31
81940
1460
Rob: ์•„๋ฌด์—๊ฒŒ๋„ ๋งํ•˜์ง€ ๋งˆ์„ธ์š” Dan, ์•Œ๊ฒ ์Šต๋‹ˆ๋‹ค. ํ”„๋กœ๊ทธ๋žจ
01:23
the answer for the listeners at the end of
32
83400
2380
๋งˆ์ง€๋ง‰์— ์ฒญ์ทจ์ž ์—ฌ๋Ÿฌ๋ถ„๊ป˜ ๋‹ต์„ ๋“œ๋ฆฝ๋‹ˆ๋‹ค
01:25
the programme. Weโ€™re going to hear now
33
85780
2600
. ์ด์ œ ๊ฐ€์ƒ ๋น„์„œ
01:28
from Tom Hewitson, who is a
34
88380
2120
01:30
conversation designer, working in the field
35
90500
2400
๋ถ„์•ผ์—์„œ ์ผํ•˜๋Š” ๋Œ€ํ™” ๋””์ž์ด๋„ˆ์ธ Tom Hewitson์˜ ์ด์•ผ๊ธฐ๋ฅผ
01:32
of virtual assistants, talking on BBC Radio
36
92900
3660
BBC ๋ผ๋””์˜ค
01:36
4's Word of Mouth programme.
37
96560
2000
4์˜ ์ž…์†Œ๋ฌธ ํ”„๋กœ๊ทธ๋žจ์—์„œ ๋“ค์–ด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
01:38
He talks about the whole idea of virtual
38
98560
2780
๊ทธ๋Š” ๊ฐ€์ƒ ๋น„์„œ์— ๋Œ€ํ•œ ์ „์ฒด ์•„์ด๋””์–ด
01:41
assistants and how they are changing the
39
101340
2460
์™€
01:43
way we interact with technology.
40
103800
2396
์šฐ๋ฆฌ๊ฐ€ ๊ธฐ์ˆ ๊ณผ ์ƒํ˜ธ ์ž‘์šฉํ•˜๋Š” ๋ฐฉ์‹์„ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”์‹œํ‚ค๊ณ  ์žˆ๋Š”์ง€์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•ฉ๋‹ˆ๋‹ค.
01:46
How does he describe our existing
41
106200
1980
๊ทธ๋Š” ์šฐ๋ฆฌ์™€ ์ปดํ“จํ„ฐ์˜ ๊ธฐ์กด ๊ด€๊ณ„๋ฅผ ์–ด๋–ป๊ฒŒ ์„ค๋ช…ํ•ฉ๋‹ˆ๊นŒ
01:48
relationship with computers?
42
108180
2480
?
01:50
Tom Hewitson: It changes the way that
43
110660
2160
Tom Hewitson: ๊ทธ๊ฒƒ์€
01:52
we think about computers.
44
112832
1987
์šฐ๋ฆฌ๊ฐ€ ์ปดํ“จํ„ฐ์— ๋Œ€ํ•ด ์ƒ๊ฐํ•˜๋Š” ๋ฐฉ์‹์„ ๋ฐ”๊ฟ‰๋‹ˆ๋‹ค.
01:54
To date weโ€™ve thought of them largely as
45
114819
2036
์ง€๊ธˆ๊นŒ์ง€ ์šฐ๋ฆฌ๋Š” ๊ทธ๊ฒƒ๋“ค์„ ์ฃผ๋กœ ๋„๊ตฌ๋กœ ์ƒ๊ฐํ–ˆ์Šต๋‹ˆ๋‹ค
01:56
tools. Theyโ€™re just an advanced version
46
116855
1985
. ๊ณ„์‚ฐ๊ธฐ์˜ ๊ณ ๊ธ‰ ๋ฒ„์ „์ผ ๋ฟ์ž…๋‹ˆ๋‹ค
01:58
of a calculator. Theyโ€™re something you
47
118840
2541
.
02:01
kind of use to get a specific thing done,
48
121381
2560
ํŠน์ • ์ž‘์—…์„ ์™„๋ฃŒํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉํ•˜๋Š” ์ผ์ข…์˜ ๋„๊ตฌ์ธ
02:03
whereas this is kind of changing them
49
123941
2268
๋ฐ˜๋ฉด, ์ด๋Š”
02:06
more into like an agent. Theyโ€™re an active
50
126209
1851
์—์ด์ „ํŠธ์ฒ˜๋Ÿผ ๋” ๋งŽ์ด ๋ณ€๊ฒฝํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ทธ๋“ค์€
02:08
participant in the kind of interaction and in
51
128060
3280
์ผ์ข…์˜ ์ƒํ˜ธ ์ž‘์šฉ์— ์ ๊ทน์ ์œผ๋กœ ์ฐธ์—ฌํ•˜๊ณ 
02:11
guiding you to make the right decision.
52
131340
2660
์˜ฌ๋ฐ”๋ฅธ ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋„๋ก ์•ˆ๋‚ดํ•ฉ๋‹ˆ๋‹ค.
02:14
Rob: How did he describe our existing
53
134000
1956
Rob: ๊ทธ๋Š”
02:15
relationship with computers then?
54
135956
1634
๋‹น์‹œ ์ปดํ“จํ„ฐ์™€์˜ ๊ธฐ์กด ๊ด€๊ณ„๋ฅผ ์–ด๋–ป๊ฒŒ ์„ค๋ช…ํ–ˆ์Šต๋‹ˆ๊นŒ?
02:17
Dan: He said that to date, which is an
55
137590
1836
๋Œ„: ์ง€๊ธˆ๊นŒ์ง€
02:19
expression which means 'up until this
56
139426
1767
'์ง€๊ธˆ๊นŒ์ง€'๋ผ๋Š” ํ‘œํ˜„์œผ๋กœ ์ง€๊ธˆ๊นŒ์ง€
02:21
point in time', we have thought of them
57
141193
1892
02:23
as advanced calculators.
58
143085
1555
๊ณ ๊ธ‰๊ณ„์‚ฐ๊ธฐ๋กœ ์ƒ๊ฐํ•ด์™”๋‹ค๊ณ  ํ•˜๋”๋ผ.
02:24
Rob: Yes, thatโ€™s right, we use them as a
59
144640
2220
Rob: ์˜ˆ, ๋งž์Šต๋‹ˆ๋‹ค.
02:26
tool to get things done. But he says that
60
146860
2840
์ž‘์—…์„ ์™„๋ฃŒํ•˜๊ธฐ ์œ„ํ•œ ๋„๊ตฌ๋กœ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทธ๋Š”
02:29
modern technology is turning them into
61
149700
2280
ํ˜„๋Œ€ ๊ธฐ์ˆ ์ด ๊ทธ๋“ค์„ ์—์ด์ „ํŠธ๋กœ ๋ฐ”๊พธ๊ณ  ์žˆ๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค
02:31
an agent.
62
151980
1350
.
02:33
This doesnโ€™t mean a secret agent, like
63
153330
1530
์ด๊ฒƒ์€ James Bond์™€ ๊ฐ™์€ ๋น„๋ฐ€ ์š”์›์„ ์˜๋ฏธํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค
02:34
James Bond! In this sense an agent is
64
154860
3120
! ์ด๋Ÿฐ ์˜๋ฏธ์—์„œ ์—์ด์ „ํŠธ๋Š”
02:37
something that has agency and that
65
157980
2380
์„ ํƒ ์˜์ง€๋ฅผ ๊ฐ–๊ณ  ์žˆ์œผ๋ฉฐ
02:40
means it has the ability to act individually
66
160360
2500
๊ฐœ๋ณ„์ ์œผ๋กœ ํ–‰๋™
02:42
and make its own decisions.
67
162860
2060
ํ•˜๊ณ  ์Šค์Šค๋กœ ๊ฒฐ์ •์„ ๋‚ด๋ฆด ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ์ด ์žˆ์Œ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.
02:44
Dan: Iโ€™m not sure Iโ€™d like my phone to have
68
164920
1820
Dan: ๋‚ด ์ „ํ™”์— ๋Œ€ํ–‰์‚ฌ๊ฐ€ ์žˆ์—ˆ์œผ๋ฉด ์ข‹๊ฒ ๋Š”์ง€ ์ž˜ ๋ชจ๋ฅด๊ฒ ์Šต๋‹ˆ๋‹ค
02:46
agency. It probably wouldnโ€™t like being
69
166750
2399
.
02:49
in my pocket all day.
70
169149
1291
ํ•˜๋ฃจ ์ข…์ผ ๋‚ด ์ฃผ๋จธ๋‹ˆ์— ์žˆ๋Š” ๊ฒƒ์ด ์‹ซ์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
02:50
Rob: Who would Dan? But Iโ€™m not sure
71
170440
2160
๋กญ: ๋ˆ„๊ฐ€ ๋Œ„์„ ํ•˜๊ฒ ์Šต๋‹ˆ๊นŒ? ํ•˜์ง€๋งŒ
02:52
Hewitson is suggesting our devices would
72
172600
2360
Hewitson์ด ์šฐ๋ฆฌ์˜ ์žฅ์น˜๊ฐ€
02:54
become that clever but he did say they
73
174960
2620
๊ทธ๋ ‡๊ฒŒ ์˜๋ฆฌํ•ด์งˆ ๊ฒƒ์ด๋ผ๊ณ  ์ œ์•ˆํ–ˆ๋Š”์ง€ ํ™•์‹ ํ•  ์ˆ˜ ์—†์ง€๋งŒ ๊ทธ๋Š” ๊ทธ๊ฒƒ์ด
02:57
could become more active in our lives.
74
177580
2700
์šฐ๋ฆฌ ์‚ถ์—์„œ ๋” ํ™œ์„ฑํ™”๋  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค.
03:00
Dan: Maybe. I imagine, for example,
75
180290
3041
๋Œ„: ์•„๋งˆ๋„. ์˜ˆ๋ฅผ ๋“ค์–ด,
03:03
telling us if we are spending too much
76
183340
2080
์šฐ๋ฆฌ๊ฐ€
03:05
time in fast food restaurants?
77
185420
1780
ํŒจ์ŠคํŠธํ‘ธ๋“œ์ ์—์„œ ๋„ˆ๋ฌด ๋งŽ์€ ์‹œ๊ฐ„์„ ๋ณด๋‚ด๊ณ  ์žˆ๋Š”์ง€ ์•Œ๋ ค์ฃผ๋Š” ๊ฒƒ์„ ์ƒ์ƒํ•ด ๋ด…๋‹ˆ๋‹ค.
03:07
Rob: Maybe in your case Dan. Mine would
78
187209
2150
Rob: ์•„๋งˆ๋„ ๋‹น์‹ ์˜ ๊ฒฝ์šฐ์—๋Š” Dan์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‚ด ๊ฒƒ์€ ๋‚ด๊ฐ€
03:09
be telling me I spend too much time in the gym!
79
189359
2992
์ฒด์œก๊ด€์—์„œ ๋„ˆ๋ฌด ๋งŽ์€ ์‹œ๊ฐ„์„ ๋ณด๋‚ธ๋‹ค๊ณ  ๋งํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค!
03:12
Hewitson goes on to explain how
80
192351
2621
Hewitson์€ ๊ณ„์†ํ•ด์„œ
03:14
the way we will talk to our virtual
81
194972
2034
๊ฐ€์ƒ ๋น„์„œ์™€ ๋Œ€ํ™”ํ•˜๋Š” ๋ฐฉ์‹์ด ์–ด๋–ป๊ฒŒ
03:17
assistants will develop.
82
197006
1418
๋ฐœ์ „ํ•  ๊ฒƒ์ธ์ง€ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.
03:18
What does he say we donโ€™t need to do?
83
198424
2916
๊ทธ๋Š” ์šฐ๋ฆฌ๊ฐ€ ๋ฌด์—‡์„ ํ•  ํ•„์š”๊ฐ€ ์—†๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๊นŒ?
03:21
Tom Hewitson: We will develop our own
84
201340
1500
Tom Hewitson: ์šฐ๋ฆฌ๋Š” ๋‹ค๋ฅธ ์‚ฌ๋žŒ๊ณผ
03:22
kind of vernacular for speaking with
85
202840
2060
๋Œ€ํ™”ํ•˜๋Š” ๋ฐฉ์‹๊ณผ
03:24
machines that will be subtly
86
204900
1200
๋ฏธ๋ฌ˜ํ•˜๊ฒŒ ๋‹ค๋ฅธ ๊ธฐ๊ณ„์™€ ๋Œ€ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ž์ฒด ์–ธ์–ด๋ฅผ ๊ฐœ๋ฐœํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:26
different from how we speak to other
87
206100
1860
03:27
people because as you rightly point out
88
207960
2220
03:30
you donโ€™t need to make the machine like
89
210180
1580
03:31
you donโ€™t need to kind of make random
90
211760
2900
03:34
chit-chat thatโ€™s just filling the time. It can
91
214660
2593
์‹œ๊ฐ„์„ ์ฑ„์šฐ๋Š” ๋ฌด์ž‘์œ„ ์žก๋‹ด์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:37
be much more brusque and to the point.
92
217253
2177
ํ›จ์”ฌ ๋” ์ž”์ธํ•˜๊ณ  ์š”์ ์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:39
Dan: A lot of what we say in human
93
219430
2177
Dan: ์šฐ๋ฆฌ๊ฐ€ ์ธ๊ฐ„์˜ ์˜์‚ฌ์†Œํ†ต์—์„œ ๋งํ•˜๋Š” ๋งŽ์€ ๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€
03:41
communication is to do with our
94
221607
1653
03:43
relationship with the person weโ€™re talking to.
95
223260
2330
๋งํ•˜๋Š” ์‚ฌ๋žŒ๊ณผ์˜ ๊ด€๊ณ„์™€ ๊ด€๋ จ์ด ์žˆ์Šต๋‹ˆ๋‹ค.
03:45
Rob: We say things and talk about things
96
225590
2370
Rob: ์šฐ๋ฆฌ๋Š”
03:47
that are maybe not directly relevant to our
97
227960
1800
์šฐ๋ฆฌ์˜ ์š”์ ๊ณผ ์ง์ ‘์ ์ธ ๊ด€๋ จ์ด ์—†์„ ์ˆ˜๋„ ์žˆ๋Š” ๊ฒƒ๋“ค์„ ๋งํ•˜๊ณ  ์ด์•ผ๊ธฐํ•ฉ๋‹ˆ๋‹ค
03:49
point. With a digital virtual assistant, we
98
229760
3680
. ๋””์ง€ํ„ธ ๊ฐ€์ƒ ๋น„์„œ๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด
03:53
donโ€™t need to do that, so we donโ€™t need to
99
233440
2340
๊ทธ๋ ‡๊ฒŒ ํ•  ํ•„์š”๊ฐ€ ์—†์œผ๋ฏ€๋กœ
03:55
make the machine like us.
100
235780
1599
๊ธฐ๊ณ„๋ฅผ ์šฐ๋ฆฌ์ฒ˜๋Ÿผ ๋งŒ๋“ค ํ•„์š”๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค.
03:57
Dan: Hewitson said that we will develop
101
237380
2140
Dan: Hewitson์€
03:59
our own vernacular, this is a general word
102
239520
2480
์šฐ๋ฆฌ ๊ณ ์œ ์˜ ํ† ์ฐฉ์–ด๋ฅผ ๊ฐœ๋ฐœํ•  ๊ฒƒ์ด๋ผ๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋ชจ๊ตญ์–ด์— ๋Œ€ํ•œ ์ผ๋ฐ˜์ ์ธ ๋‹จ์–ด์ž…๋‹ˆ๋‹ค
04:02
for a native language. This vernacular will
103
242000
2900
. ์ด ์–ธ์–ด๋Š”
04:04
be a little bit different from our everyday
104
244900
2700
04:07
vernacular because, as we said, we donโ€™t
105
247600
2500
์šฐ๋ฆฌ๊ฐ€ ๋งํ–ˆ๋“ฏ์ด ์ธ๊ณต ๋น„์„œ์™€
04:10
need to maintain a social relationship
106
250100
2080
์‚ฌํšŒ์  ๊ด€๊ณ„๋ฅผ ์œ ์ง€ํ•  ํ•„์š”๊ฐ€ ์—†๊ธฐ ๋•Œ๋ฌธ์— ์ผ์ƒ ์–ธ์–ด์™€ ์•ฝ๊ฐ„ ๋‹ค๋ฅผ ๊ฒƒ์ž…๋‹ˆ๋‹ค
04:12
with the artificial assistant.
107
252180
1840
.
04:14
Rob: This means that we wonโ€™t need
108
254020
1360
Rob: ์žก๋‹ด์ด ํ•„์š” ์—†๋‹ค๋Š” ๋œป์ž…๋‹ˆ๋‹ค
04:15
chit-chat. Chit-chat is another expression
109
255380
2640
. ์žก๋‹ด์€ ์ž‘์€ ๋Œ€ํ™”์˜ ๋˜ ๋‹ค๋ฅธ ํ‘œํ˜„์ž…๋‹ˆ๋‹ค.
04:18
for small talk: conversation topics which
110
258020
2680
๋Œ€ํ™” ์ฃผ์ œ๋Š”
04:20
arenโ€™t important but are part of everyday
111
260700
2718
์ค‘์š”ํ•˜์ง€ ์•Š์ง€๋งŒ ๋‚ ์”จ์—
04:23
social communication, like talking about
112
263418
2355
๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•˜๋Š” ๊ฒƒ๊ณผ ๊ฐ™์ด ์ผ์ƒ์ ์ธ ์‚ฌํšŒ์  ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜์˜ ์ผ๋ถ€์ž…๋‹ˆ๋‹ค
04:25
the weather.
113
265773
707
.
04:26
Dan: And because we donโ€™t need to be
114
266480
1520
Dan: ๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ๋Š” ๊ฐ€์ƒ ๋น„์„œ์™€ ์นœ๊ตฌ๊ฐ€ ๋  ํ•„์š”๊ฐ€ ์—†๊ธฐ ๋•Œ๋ฌธ์—
04:28
friends with our virtual assistants, we can
115
268000
2180
04:30
be brusque and to the point. Both of these
116
270180
2720
๋ฌด๋š๋šํ•˜๊ณ  ์š”์ ์„ ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋‘ ๊ฐ€์ง€ ๋ชจ๋‘
04:32
mean being very direct and not very
117
272900
2260
๋งค์šฐ ์ง์„ค์ ์ด๊ณ  ์˜ˆ์˜ ๋ฐ”๋ฅด์ง€ ์•Š์€ ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค
04:35
polite.
118
275160
1050
.
04:36
Rob: Well Dan, I donโ€™t mean to be brusque but
119
276210
2010
Rob: Dan, ํ‰๋ช…์Šค๋Ÿฝ๊ฒŒ ๋งํ•  ์ƒ๊ฐ์€ ์—†์ง€๋งŒ
04:38
it is time for the answer to this weekโ€™s
120
278220
2236
์ด๋ฒˆ ์ฃผ ํ€ด์ฆˆ ์งˆ๋ฌธ์— ๋‹ตํ•  ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค
04:40
quiz question. Earlier I asked when was
121
280460
2460
. ์•ž์„œ ๋‚˜๋Š” ์Œ์„ฑ์„
04:42
the first computer which could recognise
122
282920
1580
์ธ์‹ํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์ดˆ์˜ ์ปดํ“จํ„ฐ๊ฐ€ ์–ธ์ œ
04:44
speech, launched. The options were:
123
284500
2560
์ถœ์‹œ๋˜์—ˆ๋Š”์ง€ ๋ฌผ์—ˆ์Šต๋‹ˆ๋‹ค. ์˜ต์…˜์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค:
04:47
a) 1951, b) 1961, or c) 1971.
124
287060
5260
a) 1951, b) 1961, ๋˜๋Š” c) 1971.
04:52
Well actually the first computer which
125
292320
2060
์‹ค์ œ๋กœ
04:54
could recognise speech was launched in 1961.
126
294380
3700
์Œ์„ฑ์„ ์ธ์‹ํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์ดˆ์˜ ์ปดํ“จํ„ฐ๋Š” 1961๋…„์— ์ถœ์‹œ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.
04:58
Dan: Yep! It was called the IBM Shoebox and
127
298080
3020
Dan: ๋„ค! ๊ทธ๊ฒƒ์€ IBM Shoebox๋ผ๊ณ  ๋ถˆ๋ ธ๊ณ 
05:01
could recognise 16 words and the
128
301100
2580
16๊ฐœ์˜ ๋‹จ์–ด์™€ 0์—์„œ 9๊นŒ์ง€์˜ ์ˆซ์ž๋ฅผ ์ธ์‹ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค
05:03
numbers zero to nine. Thatโ€™s nearly as
129
303680
2878
. ๊ทธ๊ฒƒ์€ ๊ฑฐ์˜
05:06
many as you!
130
306558
1282
๋‹น์‹ ๋งŒํผ ๋งŽ์Šต๋‹ˆ๋‹ค!
05:07
Rob: Cheeky! Right enough of this
131
307840
2431
๋กญ: ๊ฑด๋ฐฉ์ง„! ์ด ์ฑ„ํŒ…์œผ๋กœ ์ถฉ๋ถ„ํ•ฉ๋‹ˆ๋‹ค
05:10
chat-chat. Letโ€™s recap todayโ€™s vocabulary.
132
310271
2648
. ์˜ค๋Š˜์˜ ์–ดํœ˜๋ฅผ ์ •๋ฆฌํ•ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
05:12
Dan: Well chit-chat was one of todayโ€™s
133
312919
2288
๋Œ„: ์žก๋‹ด์ด ์š”์ฆ˜ ์œ ํ–‰ํ•˜๋Š” ํ‘œํ˜„ ์ค‘ ํ•˜๋‚˜์˜€์–ด์š”
05:15
expressions. Meaning 'small talk', but we
134
315207
2273
. '์žก๋‹ด'์ด๋ผ๋Š” ๋œป๋„ ์žˆ์ง€๋งŒ
05:17
also had the expression to date. That
135
317480
2779
์ง€๊ธˆ๊นŒ์ง€ ์ด๋Ÿฐ ํ‘œํ˜„๋„ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰,
05:20
means โ€˜up until this moment in timeโ€™.
136
320259
2291
'์ง€๊ธˆ ์ด ์ˆœ๊ฐ„๊นŒ์ง€'๋ผ๋Š” ๋œป์ž…๋‹ˆ๋‹ค.
05:22
Rob: Then we had the noun agent. This
137
322550
2490
Rob: ๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ๋Š” ๋ช…์‚ฌ ๋Œ€๋ฆฌ์ธ์„ ๊ฐ€์กŒ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€
05:25
refers to something that has agency. And
138
325040
2420
์„ ํƒ์˜์ง€๊ฐ€ ์žˆ๋Š” ๊ฒƒ์„ ๋งํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ 
05:27
that is the ability to think, make decisions
139
327520
3080
๊ทธ๊ฒƒ์€ ๋…๋ฆฝ์ ์œผ๋กœ ์ƒ๊ฐํ•˜๊ณ , ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๊ณ 
05:30
and act independently.
140
330600
1640
, ํ–‰๋™ํ•˜๋Š” ๋Šฅ๋ ฅ์ž…๋‹ˆ๋‹ค.
05:32
Dan: The next word is vernacular, another
141
332340
1420
Dan: ๋‹ค์Œ ๋‹จ์–ด๋Š”
05:33
word for language, particularly when
142
333760
2740
ํŠนํžˆ ๋ชจ๊ตญ์–ด์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•  ๋•Œ ์–ธ์–ด์— ๋Œ€ํ•œ ๋˜ ๋‹ค๋ฅธ ๋‹จ์–ด์ธ ๋ชจ๊ตญ์–ด์ž…๋‹ˆ๋‹ค
05:36
talking about a native language.
143
336500
1690
.
05:38
Rob: And finally there was brusque
144
338190
2365
Rob: ๊ทธ๋ฆฌ๊ณ  ๋งˆ์ง€๋ง‰์œผ๋กœ
05:40
meaning 'direct and not polite' and to the
145
340560
2680
'์ง์ ‘์ ์ด๊ณ  ๊ณต์†ํ•˜์ง€ ์•Š์Œ'์„ ์˜๋ฏธํ•˜๋Š” brusque๊ฐ€ ์žˆ์—ˆ๊ณ 
05:43
point, which also means 'direct and without
146
343240
2880
์š”์ ์€ '์ง์ ‘์ ์ด๊ณ 
05:46
unnecessary information'.
147
346120
1280
๋ถˆํ•„์š”ํ•œ ์ •๋ณด๊ฐ€ ์—†์Œ'์„ ์˜๋ฏธํ•˜๊ธฐ๋„ ํ–ˆ์Šต๋‹ˆ๋‹ค.
05:47
Dan: Hey Rob
148
347400
1040
Dan: ์•ˆ๋…• Rob
05:48
Rob: Yes, what can I do for you Dan?
149
348440
2270
Rob: ๋„ค, ๋ฌด์—‡์„ ๋„์™€๋“œ๋ฆด๊นŒ์š” Dan?
05:50
Dan: End the programme.
150
350710
1590
๋Œ„: ํ”„๋กœ๊ทธ๋žจ์„ ์ข…๋ฃŒํ•ฉ๋‹ˆ๋‹ค.
05:52
Rob: Certainly Dan. Well thatโ€™s all from us
151
352300
2500
๋กญ: ํ™•์‹คํžˆ ๋Œ„. ์˜ค๋Š˜์€ ์—ฌ๊ธฐ๊นŒ์ง€์ž…๋‹ˆ๋‹ค
05:54
today, be sure to check us out on all the
152
354800
2320
.
05:57
usual places: Facebook, Twitter, Instagram
153
357120
2632
Facebook, Twitter, Instagram
05:59
and YouTube, and of course please don't
154
359760
2180
๋ฐ YouTube์™€ ๊ฐ™์€ ๋ชจ๋“  ์ผ๋ฐ˜์ ์ธ ์žฅ์†Œ์—์„œ ์ €ํฌ๋ฅผ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค. ๋ฌผ๋ก 
06:01
forget our website
155
361940
1100
์ €ํฌ ์›น์‚ฌ์ดํŠธ
06:03
bbclearningenglish.co m. Bye for now!
156
363040
2380
bbclearningenglish.com๋„ ์žŠ์ง€ ๋งˆ์‹ญ์‹œ์˜ค. ์ง€๊ธˆ์€ ์•ˆ๋…•!
06:05
Dan: Bye!
157
365420
840
๋Œ„: ์•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