# data[].attributes.body
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40

# data[].attributes.body
2 is /
3 art / are
4 are you / am
5 is / he is / is
6 he / no he is not he is louis

# data[].attributes.body
1 bank
2 restaurant
3 pharmacy
4 school
5 newspaper
6 bookstore
7 car
8 bicycle
9 road
10 subway
11 motorbike
12 grandmother
13 grandfather
14 grandparent
15 mother
16 father
17 parent
18 son
19 childrent
20
21
22 grandson
23
24 grandchildren
25 wife
26 husband
27 sister
28 brother
29 short
30 tall
31 old
32 young
33 beutifull
34 handsome
35 good looking
36 cute
37
38
39 next to
40 train
1 what is your fathers occupation?
2 how old is your brother?
3 your grandmother ís old?
4 how old is your children ?
5 who are they ?
6 your brother is a doctor ?
7 your son is single ?
8 your sister is pretty ?

# data[].attributes.body
1 bank
2 restaurant
3 pharmacy
4school
5 newsstand
6 bookstore
7 car
8 bicycle
9 road
10 subway
11 motorbike
12 grandmother
13 grandfather
14 grandparents
15 mother
16 father
17 parents
18 a child
19  children
20 son
21 grandson
22 granddaughter
23 grandchildren
24 wife
25 husband
26 sister
27brother
28 short
29 tall
30 old
31 young
32 pretty
33 handsome
34 good-looking
35 cute
36 corner
37 between
38 next to
39 train
40 daughter

# data[].attributes.body
1/ What is your father's occupation?
2/ How old is your brother?
3/ Is your grandmother old?
4/ Are your sister pretty?
5/ How old are your children?
6/ Who are they?
7/ Is your brother a doctor ?
8/ Is your son single ?

# data[].attributes.body
1. Bank
2. Restaurant
3. Pharmacy
4. School
5. Newstand
6. Bookstore
7. Car
8. Bicycle / Bike
9. Road / Street
10. Subway
11. Motorbike / Motorcycle
12. Grandmother / Grandma
13. Grandfather / Grandfa
14. Grandparents
15. Mother / Mom
16.  Father / Dad
17. Parents
18. Child
19. Children
20. Daughter
21. Son
22. Grandson
23. Granddaughter
24. Grandchildren
25. Wife
26. Husband
27. Sister
28. Brother
29. Short
30. Tall
31. Old
32. Young
33. Beautiful / Pretty
34. Handsome
35. Good locking
36. Cute
37. Corner
38. Between
39. Next to
40. Train

# data[].attributes.body
1. bank
2 restaurant
3 pharmacy
4 school
5 newsstand
6 book store
7 car
8 bicycle
9 street, road
10 subway
11 motorcycle
12 grandmother
13 grandfather
14 grandparents
15 mother
16 father
17 parents
18 child
19 children
20 daughter
21 son
22 grandson
23 granddaughter
24 grandchildren
25 wife
26 husband
27 sister
28 brother
29 short
30 tall
31 old
32 young
33 pretty
34 handsome
35 good-looking
36 cute
37 corner
38 between
39 next to
40 train

# data[].attributes.body
1 What's is your father's occupation ?
2 How old is your brother ?
3 Is your grandmother old ?
4 Are your sisters pretty ?
5 How old are your children?
6 Who are they ?
7 Is your brother a doctor?
8 Is your son single ?

# data[].attributes.body
1. Are/ They are
2. Is/ isn't
3. Are/ we're. We are
4. Are you/ am
5. Is/ he is. he's
6. he/ No, he's not

# data[].attributes.body
1 bank
2 restaurant
3 drug store
4 school
5 newspaper counter
6 book store
7 car
8 bycical
9 road
10 subưay
11 motor
12 grandmother
13 granfather
14 grandparent
15 Mother
16 father
17 parent
18 child
19 daughter
20 boy
21 parent son
22 grandson
23 cháu gái
24 grandchildrent
25 wife
26 husband
27 sister
28 brother
29 short
30 tall
31 old
32 young
33 beatyfull
34 handsome
35 good looking
36 pretty
37 corner
38 between
39 next to
40 train

# data[].attributes.body
1  bank
2 restaurant
3 Pharmacy
4 school
5 newspaper counter
6 book store
7 car
8 bicycle
9 road
10 subway
11 motorcycle
12 grandmother
13 grandfather
14 grandparents
15 mom
16 father
17 parents
18 child
19 children
20 son
21 grandson
2grandchildrens
23 wife
24 husband
25
26
27 sisters
28 brothers
29 short
30 tall
31 old
32 young
33 beautiful
34 handsome
35 good looking
36 pretty
37
38 between
39 next to
40 train

# data[].attributes.body
1bank
2 restaurent
3 pharmacy
4 school
5 newspaper counter
6 book store
7 car
8 bicycle
9 the way,
10 underground, subway
11 motobike
12 grandmother
13 grandfather
14 grandparents
15mother
16 father
17 parents
18 a kid
19 children
20 son
21
22grandson
23grand daughter
24 grand children
25 wife
26 husband
27 sister
28 brother
29 short
30 tall
31 old
32 young
33 beautiful
34 handsome
35 good looking
36 pretty cute
37 corner
38 between
39 next to
40 train

# data[].attributes.body
1 bank
2 restaurant
3 pharmacy
4 school
5 newpaper counter
6 book store
7 car
8 bike
9 road
10 subway
11 motorcycle
12
13
14 grandparents
15 mother
16 father
17 parents
18 1 child
19 children
20
21
22 grandpa's grandson
23 granddaughter of grandparents
24 grandparents' grandchildren
25 wife
26 husband
27 sisters
28 brothers
29 short
30 tall
31 old
32 young
33 beautiful
34 handsome
35 goodlooking
36 bland
37 corner
38
39 next to
40 train

# data[].attributes.body
1 bank
2 restaurant
3 pharmacy
4 school
5 newspaper couter
6 bookstore
7 car
8 bicycle
9 road
10 subway
11 motocycle
12 grandmother
13 grandfather
14 grandparents
15 mother
16 father
17 parents
18
19 children
20
21 parents'son
22 grandfather's grandson
23
24 grandparents' grandchildren
25 marry
26 husband
27 sisters
28 brothers
29 short
30 tall
31 old
32 young
33 beautiful
34
35 good-looking
36 cute
37 corner
38
39
40 train

# data[].attributes.body
1.BANK NGAN HANG
2.RESTAURANT
3.NHÀ THUỐC
4.SCHOOL
5.QUẦY BÁO
6.BOOKSTORE
7.CAR
8.BIKE
9.ROAD
10.SUBWAY
11.MOTO
12.GRANDMOTHER
13.GRANDFATHER
14.GRANDPARENTS
15.MOTHER
16.FATHER/DAD
17 PARENTS
18 CHILD
19 CHILDREN
20
21 SON
22 GRANDSON
23
24
25 WIFE
26 HUSBAN
27 SISTER
28 BROTHER
29 SHORT
30 TALL
31 OLD
32 YOUNG
33 BEAUTIFUL
34 HANDSOME
35 GOOD LOOKING
36 CUTE
37 CORNER
38BETWEEN
39 NEXT TO
40 TRAIN

# data[].attributes.body
1.bank
2.restaurant
3.pharmacy
4.school
5.newpaper shop or newsstand
6.bookshelf
7.car
8.bike or bikecycle
9.street or road or the way
10.subway
11.motorcycle or motorbike
12.grandmother or grandma
13.grandfather or grandpa
14.grandparents or
15.mother or mom or mommy
16.dad or father or daddy
17.parents
18.child or kid
19.children
20.daughter
21.boy
22.
23.granddaughter
24.grandchildren
25.wife
26.husband
27.sister
28.brother
29.short
30.tall
31.old
32.young
33.beautiful
34.handsome
35.good looking
36.pretty or cute
37.corner
38.beetwen
39.next to
40.train

# data[].attributes.body
1.What's your father's occupation?
2. How old is your brother?
3. Is your grandmother old?
4. Are your sisters pretty?
5. How old are your children?
6. Who are they?
7. Is your brother a doctor?
8. Is your son single?

# data[].attributes.body
Hiếu excercise To be
1. are
2. they are
3. Is
4. she isn't. She is Ella
5. Are
6. aren't. We are
7. Are you
8. Yes, I am
9. Is
10. he's. He's Michael
11. he
12. No, he's not. He's Louis.

# data[].attributes.body
1. bank
2. restaurant
3. Drugstore/ pharmacy
4. school
5. newsstand
6. bookstore
7. car
8. bike/bicycle
9. road
10. subway
11. motorbike
12. grandmother
13. grandfather
14. grandparent
15. mother
16. father
17. parent
18. child
19. children
20. dougther
21. son
22. grandson
23. grandaugther
24. grandchildren
25. wife
26. husband
27. sister
28. brothers
29. short
30. high/ tall
31. old
32. young
33.  beutiful
34. handsome
35. good locking
36. cute
37. corner
38. between
39. next to
40. train

# data[].attributes.body
1 bank
2 restaurant
3 Pharmacy
4 schools
5 Newsstand
6 Bookstore
7 car
8 bike
9 street
10 subway
11 Motor bike
12 Grandmother
13 GrandFather
14 Grandparents
15 mom
16 father
17 parent
18 child
19 children
20 daugther
21 son
22 grandson
23 grandaugther
24 grandchildren
25 wife
26 husband
27 sisters
28 brothers
29 short
30 tall
31 old1 bank
32 young
33 beautiful
34 handsome
35 lookank
36 good-looking
37 cute
38 middle
39 next to
40 train

# data[].attributes.body
1.Bank
2.Restaurant
3.Pharmasy
4.School
5.Newsstand
6.Bookstore
7.Car
8.Bike
9. Road
10.Subway
11.Motor bike
12.Grandmother
13.GrandFather
14.Grandparents
15.Mother
16.Father
17.Parent
18.Child
19.Children
20.Daughter
21.Son
22.Grandson
23.Grandaugthe
24.Grandchildren
25.Wife
26.Husband
27.Sisters
28.Brothers
29. Short
30. Hight
31.Old
32.Young
33. Beautiful
34.Handsome
35.Good locking
36. Cute
37.Corner
38.Between
39.Next to
40.Train

# data[].attributes.body
1/
2/
3/
4/
5/
6/
7/
8/

# data[].attributes.body
1. What is your father's occupation?
2. how old is your brother?
3. is your grandmother old?
4. are your sisters pretty?
5. How old are your children?
6. who are they?
7. is your brother a doctor?
8. is your son single?

# data[].attributes.body
1 what is your father's occupation?
2 how old is your brother?
3 Is your grandmother old?
4 are your sisters pretty?
5 How old are your children?
6 Who are they?
7 Is your brother a doctor?
8 Is your son single ?

# data[].attributes.body
1. what is your father's occupation?
2. how old is your brother?
3.  is your grandmother old ?
4. is your sister pretty?
5. how old are your children?
6. who are they?
7. is your brother a doctor?
8. is your son single?

# data[].attributes.body
1. what is your father occupation ?
2. How old is your father ?
3. IS your grandmother old ?
4 Is your sister pretty ?
5 How old are your children ?
6  who are they ?
7 Your brother is a doctor ?
8 Your son is a single ?

# data[].attributes.body
1 What is your father's occupation?
2 how old is your brother?
3 is your grandmother old?
4 are your sisters pretty?
5 how old are your children?
6 who are they?
7 is your brother a doctor?
8 is your son single?

# data[].attributes.body
1 what is your father's occupation?
2.how old is your brother?
3 is your grandmorther old ?
4. are your sisters young?
5. how old are your children?
6.who are they?
7. is your brother a doctor?
8. is your son single ?

# data[].attributes.body
1. what is your father's occuupation?
2. how old is your brother?
3. is your grandmother old?
4. Are your sisters pretty?
5. how old are your children?
6. who are they?
7. is your brother a doctor?
8. is your son single?

# data[].attributes.body
2 how old is your brother ?
3  is your grandmother old?
4 are your sisters pretty ?
5 how old are your children ?
6 who are they ?
7 is your brother a docter ?
8 is your son a single ?

# data[].attributes.body
1 what is your father's occupation?
2. How old is your brother?
3. How old is your grandmother?
4. is your sister pretty?
5. how old is your child
6. ?
7. Is your brother a doctor?
8. Is your son a singer?

# data[].attributes.body
1. what is your father's occupation
2. How old is your broher
3. Is your grandmother old?
4. Is your sister pretty
5. How old are your  children
6. Who are they

# data[].attributes.body
1.What is your father's occupation?
2.How old is your brother ?
3.Is your grandmother old?
4.Are your sisters pretty ?
5.How old are your children ?
6..Who are they ?
7.Is your brother a docter ?
8.Is your son a single ?

# data[].attributes.body
1. Are/ Yes, they are
2. Is/ No, she isn't
3. Are/ No, we're
4. Are you/ Yes, I am
5. Is / No, he is not/ Is
6.

# data[].attributes.body
1. Are
yes, they are
2. is
No, she's
3. Are
No, we're
4. is
Yes, I am
5. is
No, he's/He's
6. He
No/He's not

# data[].attributes.body
1. Are/ Yes, they are
2. Is/ No, she isn't
3. Are/ No, we're
4. Are you/ Yes, I am
5. Is / No, he is not/ Is
6. He/ No, he's not / He is

# data[].attributes.body
1- ARE / THEY ARE
2 - IS / SHE ISN'T. SHE IS
3 - ARE / WE ARE = WE'RE / WE ARE
4 - ARE YOU / AM
5 - IS / HE IS / HE'S = HE IS
6 - HE / NO - HE'S NOT.

I, YOU, WE, THEY
HE, SHE, IT
I + AM
YOU, WE, THEY + ARE
HE, SHE, IT + IS

# data[].attributes.body
1. Are/ they are
2. is/ no she's not
3. are/ no we're/ we are
4. are you/ i am
5 . is/ he is/ he's
6. he/ no/ he's not

# data[].attributes.body
1.Are/Yes, They are
2.Is/No, She is
3.Are/ No,we are
4. Are / Yes, I am
5. is / No, he is
6.  He/ He is not

# data[].attributes.body
1 are / they are
2 is she / she is
3 are/ are
4are you / am
5 is /he is/is
6 he/ no/is

# data[].attributes.body
1 are they / yes they are
2 is she / no, she is
3 are you / no, we aren't / we are
4 are you / yes, i am
5
6

# data[].attributes.body
1
A: are they
B: yes they are
2. A: is she
B: no, she is
3 A: are you
B: no , we aren't. we are
4 A are you
B yes , i am
5 A is he
B no, he is not  .he 's
6. A is he
B no,he isn't.

# data[].attributes.body
1. are
Are they
2.

# data[].attributes.body
1. are/ yes. they are
2. is/ no she isn't/ she is
3. are/ aren't/ they are
4. are you/ am
5. is/ he is/ 's
6. he/ no/ 's not

# data[].attributes.body
1 are/ yes, they are
2 is/ no she isn't, she is
3 are you/ no we aren't/ we are
4 are you/ yes I'm
5