# data[].attributes.body
Salary day: happy, suprise about salary of Jun in 2022, excited
1st day: nervous, worry, alone
last day: A little bit sad, a little bit of comfort, expectant about new job

# data[].attributes.body
Salary day: happy, energy, fantastic
1st day at work: terrible, long, tired
last day at work: sad, comforable, pleased

# data[].attributes.body
Accountant, Actuary, dotor, Architect, Artist, Astronaut, Auditor, financial analyst, data analyst, actor, guard, cashier

Teacher:
generous, knowledgeable, rich, tender, funny, strict, patient

busy, overload, detailed, irritability, bored, tired, active,

# data[].attributes.body
dining table, owen, chairs, bottle of water, dishes, foods, flowers, lamps, picture, wine

2. funny, good cooking, beautiful, long hair, little fat, tall, fashion, talkative, confident, cleaner

1. Why don't you go out this weekend? => Because I'm busy to study
2. Would you like to go to the Chinese restaurant for dinner? => Yes, That's sound great.
3. Would you like to go to the cinema tonight? Oh yes, of course. I like to watch movie in the cinema.
4. Why was Jakie late this morning? Because he woke up late this moring.
5. Do you prefer beach or moutain?
6. Where will you go?
7. Why does he dislike pizza?

1. The
2. a
3. a
4. no article
5. a
6. a
7. no article
8. The.........the
9. .no article
10. The
8. Did she dislike the stairs?

a. computer
b. AC
c. city
d. apartment
e. nationality
f. Japan
g. favorite

1. some
2. flour
3. any.
4. any
5. some
6. any

1. many
2. much
3. much
4. much
5. much
6. many

1. a jar
2.
3. a dozen
4 loaf
5. a piece
6. a bar
7. a packet
8. 3 cartons

1 spicy
2 mexican
3 spicy
4 sauce
5 difficult
6 indian
7 indian
8 curry
9 sushi
10 hungry
11 bugers

# data[].attributes.body
1. spices, bowls,chopsticks, cups, forks,gas stove, refrigerator, cooking pot, wine, beer, table, chairs

2. long hair, tall, funny, white skin, good cooking, fashion, clean people, make-up, nail

1. Why don't you go out this weekend? => Beacause i want to go to sleep a lot.
2. Would you like to go to a Chinese restaurant for dinner? => Yes, i like Chinese food.
3. Would you like to go to the cinema tonight? => No, i don't like go to the cinema.
4. Why did Jackie late this morning? => Because he woke up late.
5. Do you prefer beach or mountain?
6. Who is going to meet client to finalize our contract?
7. Does he like pizza?
8. Did she like the stairs?

1.
2. an
3. the
4. the
5. a
6. a
7. the
8. The/ an
9.
10. The

1. computer
2. AC
3. city
4. apartment
5. nationality
6. Japan
7. favorite

1. some
2. any
3. some
4. any
5. some
6. any

1. many
2. much
3. much
4. much
5. much
6. many

1. a jar
2.
3. a dozen
4.
5. a piece
6. a bar
7. a packet
8. two bags

1. spicy
2. Mexican
3. spicy
4. sauces
5. It's difficult
6. Indian
7. Indian
8. curry
9. sushi
10. hungry
11. burgers

# data[].attributes.body
divided, decided, visited, conducted, invaded
/t/: washed, brushed, asked, watched,  kissed
/d/: played, showed, viewed, called,

# data[].attributes.body
/id/: decided, wanted, needed
/t/: looked, kissed, watched, washed, used
/d/: called, loved, enjoyed

# data[].attributes.body
I have already done GYM recenthly
I have already learnt to swim
I have just done my PIT finalization
I have just eaten korean food
I haven't eaten sashimi yet before
I haven't visited the forest yet

I haven't received my test result yet
I have signed in a new finacial class recently
I have just taken part in a club at my company
I have't ever thrown back my old books

# data[].attributes.body
I have already eaten dinner,
I have taken a shower
I haven't yet played football,
I haven't ever seen famous people
I have just received a new passport,
I have just watched done Naruto series

1. I have just received a new passport.
2. I have already signed up Instagram account.
3. I have just taken part in a China festival.
4. I have just gone on a trip with my friends.

# data[].attributes.body
1. Where do you prefer to live? Countryside or city?
2. Does he like fast food?
3. Would you like to go out with me tonight?
4. Which restaurant does she prefer?

# data[].attributes.body
1. Do you prefer living in countryside to city?
2. Why doesn't he like to fast food?
3. Do you want to go out tonight?
4. Which restauraunt does she like?

# data[].attributes.body
1. define  --> divided
2. couch
3. refrigerator
4. dining
5. washroom
6. upstairs
7. rest --> dresser
8. laundry
9. attached
10. plants --> planted

Dine

# data[].attributes.body
sashimi,
delicious
diversity
beautiful
fussy

# data[].attributes.body
cooking, food, angry, friendly, deep conversasion --> conversation

# data[].attributes.body
1. define
2. couch
3. refrigerator
4. dinning --> dining
5. toilet --> washroom
6. upstairs
7. bedroom
8.
9.
10. planted

# data[].attributes.body
Pho, spring rools -> rolls, banh mi, banh xeo, bun bo hue, delicous --> delicious

# data[].attributes.body
handsome, tall, love, suddent --> student, well-studying, playing game

# data[].attributes.body
manager, colleagues, papers, printer, tables, chairs , laptops

# data[].attributes.body
fountain
flowers,
tree
swimming pool
BBQ
jacuzzi

# data[].attributes.body
doctor, builder, dentist, cashier, worker, cook, teacher, nurse, singer, actor, dancer, policeman, accountant, farmer, secretary, businessman

careful, interesting, knowledgeable, smart, detailed

tired, stressful, careful, busy, risky, detailed, active