# data[].attributes.body
+ d/ed : landed, smiled, attracted, traveled, prepared, wanted, decorated, lived, learned, looked, fixed, offered, cleaned, washed, needed, liked
+ double consonant + ed: robbed, dropped, planned, preferred, travelled.
+ consonant + y  -> ied : emptied, tried, studied
+ vowel + y + ed : delayed, employed ,stayed

# data[].attributes.body
- /id/ (t/d) landed ,attracted, wanted, decorated, needed
- /t/ (Chính(ch /tʃ/ phủ (p) fát (gh) sách (x, s, ss, ce, se) không (k) share /ʃ/ch
) dropped, liked, looked, fixed, washed.
- /d/tried, smiled, prepared, lived , learned, cleaned, robbed, delayed, planned, stayed, employed, preferred, travelled, offered, tried, emptied, studied, delayed

# data[].attributes.body
2. cooked
a.3, b.1, c.2

# data[].attributes.body
1. a
2. a b
3. c
4. c
5. c
6. b
7. a
8. c
9. c
10. b
11. a
12. a
13. b

# data[].attributes.body
1.A: phoned - weren't ; Did - tell .
B: forgot .
A: tried .
B: didn't have ; did - want .
A: needed .
2.A: did - do .
B: stayed - relaxed ; did - slept .
A: needed .
A: Did - have .
B: said - was ; loved .

# data[].attributes.body
1) Did you know
2) covered
3) developed
4) originated
5) was
6) worked
7) made
8) grated

# data[].attributes.body
A :2
B :1
be used to ... get used to

# data[].attributes.body
1.used to wear
2.used to be
3.didn't use to sit
4.used to be
5.didn't use to have

# data[].attributes.body
2(V)
Used to
but would

# data[].attributes.body
1. would
2. x
3. x
4. would
5. X
6. would
7. would
8. x

# data[].attributes.body
a.3
b.1
c.4
d. 2

# data[].attributes.body
1 used to be
2 (didn't got) weren't used to eating
3 am getting used to going
4 used to sing
5 use to like
6 will get used to writing

# data[].attributes.body
1.decided
2. was opened
3. were enjoying
4.began
5.didn't like
6.got
7.were eating
8.started
9.were running
10.pushed
11.fell
12.was holding
13.flew
14.landed
15.couldn't
16. happened
17. shouted
18. was complaining
19. took

# data[].attributes.body
1. D
2. A
3. D
4.C
5. C
6.A
7.D
8.C

# data[].attributes.body
1. pour/ spilled
2. nodded /id/
3. raised /d/ /z/
4. spilling
5. is rising
6. shook

# data[].attributes.body
1. Takes after
2. Take on
3. Turn up
4. Take up
5. Turn on
6. Turned down
7. Turned out
8. Taking off

# data[].attributes.body
Grains and cereals: wheat rice, sweetcorn
Fruit and vegetables: aubergine, broccoli.
Protein and dairy: chicken, eggs,
Sugar and fat: cupcake, croissant, pizza

# data[].attributes.body
1.C
2.A
3.A
4.C

# data[].attributes.body
1-good
2-for
3- protects
4- infection

# data[].attributes.body
1.(adj)
2.(preposition)
3.(v)
4.pro/noun/Ving

1. pronouns/n
2.(v)
3.(preposition)
4.(preposition)
5.(preposition)
6.(demonstrative adjectives)
7. (n: hearts) ADJ
8.(n)
9.(n)
10.(v)

# data[].attributes.body
1.colourful
2. customers
3.decide, choose
4. bright
5. traditional/ tasty
6.tasty
7.trendy
8.vary
9. choice