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JY-Oc 完全手册 连读课后练习
Just for Fun
片段讲解秀
from:《未知》
连读课后练习
来源:Elise
♪音频1: 辅+元连读Liaison 1:最常见的连读:C + V(辅 + 元)
It︶is
a lot︶of people
练习
stop︶it
think︶about
It︶isn't︶attractive︶at︶all.
One︶of the wizard’s most rudimentary /ˌru:dɪˈmentri/ (基本的) skills︶is levitation /ˌlevɪ’teɪʃn/ (升空,漂浮) ︶of︶objects︶into the air.
♪音频2: 元音+元音(r连接)Liaison 2: 特殊的R 元音+元音(V + V)
prefer it
far away
more and more
saw︶it
India︶and China
It’s here︶I get it wrong usually.
I will walk to meetings instead of catching a bus, or getting a taxi or︶a car.
♪音频3: 元音+元音(w连接)Liaison 3: Linking “W” 元+元 (V+V)
two︶eggs
to︶England
go︶away
I will go︶and see if it is ready.
How︶are you going to do︶it?
♪音频4: 元音+元音(j连接)Liaison 4: Linking “j” 元+元 (V+V)
we︶agree
high︶and low
day︶and night
The︶old couple always stay︶at home in the︶ evening.
We need to hurry︶up, but I don't know where my key︶is.
♪音频5: 失去爆破Not Released: 失去爆破 (C + C)
Birds use︶i(t) to hel(p) them navigate︶over thousands︶of miles- i(t) tells them where north︶is.
An(d) what︶abou(t) this one: magnet︶are pieces︶of metal which attrac(t) certain︶other kinds︶of metal- for︶example, iron︶or steel.
Elision: 省音
♪音频6: 省略掉弱元音/ə/或/ɪ/省略掉弱元音/ə/或/ɪ/
1.所在音节必须非重度音节
2. /ə/或/ɪ/ 后面是 /r/
history /ˈhɪstəri/ /ˈhɪstri/
camera /ˈkæmərə/ /ˈkæmrə/
secretary /ˈsekrətəri/ /ˈsekrətri/
♪音频7: 省略掉/t/或/d/Elision: 省音 省略掉/t/或/d/
1. 在一个词或者两个词里有三个辅音的时候,/t/ 或/d/ 在两个辅音之间
2. /t/ 或/d/ 前面那个辅音是对应的清辅音/浊辅音
last lesson
postcode
textbook
Assimilation: 同化 针对/t/ /d/ /n/
♪音频8: 针对/t/ /d/ /n/同化
Nice to meet︶you
Did︶you go?
练习:
I know what︶you said.
Can’t︶you wait?
He said︶you did.
I found︶your key.
Assimilation: 同化 针对/t/ /d/ /n/
that place
good man
London Bridge
that car
good coffee
ten cars
练习:精讲一个段落(尝试先标注一下连读然后进行朗读)
♪音频9: 段落练习-慢速
♪音频10: 段落练习-常速
He’s talking about what limitations AI has at the moment. I think it’s very interesting how many of the things that we take for granted - we humans take for granted- as being sort of things we don't even think about like how do we walk, how do we reach, how do we recognise our mother. You know, all these things. When you start to think how to implement them on a computer, you realise that it’s those things that are incredibly difficult to get computers to do, and that’s where the current cutting edge of research is.