# data[].attributes.body
doll - dolls
book - books
window - windows
chair - chairs
cup - cups

# data[].attributes.body
Book - Books
Card - Cards
Shoe - Shoes
Sock - Socks
Umbrella - Umbrellas

# data[].attributes.body
1. bear - bears
2. ring - rings
3. doll - dolls
4. box - boxes
5. leaf - leaves

# data[].attributes.body
1. pen-pens
2.pencil-pencils
3.chair-chairs
4.toy-toys
5.dog-dogs

# data[].attributes.body
1. keychain - keychains
2. uniform - uniforms
3. sock - socks
4. shoe - shoes
5. sister - sisters

# data[].attributes.body
1. spoon - spoons
2. dish - dishes
3. Plate - plates
4. Knife - knives
5. Bowl -Bowls

# data[].attributes.body
1. Dimond - diamonds
2. School bag - school bags
3. Light - lights
4. Orange - oranges
5. Chair - chairs

# data[].attributes.body
Paper - papers
Eraser - erasers
School bag - school bags
Book - books
Clock - clocks

# data[].attributes.body
1.Keychain -keychains
2. window- Windows
3.book-books
4. boy-boys
5. Phone -Phones

# data[].attributes.body
Towel - Towels
Cup - Cups
Clock - Clocks
Plate - Plates
Spoon - Spoons

# data[].attributes.body
Fan - Fans
Bag - Bags
Book - Books
Toy - Toys
Phone-Phones

# data[].attributes.body
1. fan - fans
2.backpack - backpacks
3.light - lights
4.bowl - bowls
5.chair - chairs

# data[].attributes.body
1.chick—chicks
2.egg—eggs
3.boy—boys
4.tree—trees
5.candle—candles

# data[].attributes.body
1.Toy car - toy cars
2.Book - books
3.Pencil - pencils
4.Tissue - tissues
5.Fan - fans

# data[].attributes.body
Strawberry - Strawberries
Scooter - Scooters
Muffin - Muffins
Key - Keys
Hat - Hats

# data[].attributes.body
Banana- - Bananas

Apple - - Apples

Pear - - Pears

Kiwi - - Kiwis

Pineapple - - Pineapples

# data[].attributes.body
1. card- cards
2. pencil- pencils
3. water bottle - water bottles
4. book- books
5. clock- clocks

# data[].attributes.body
1. Board game - board games
2. Book - books
3. Piano - pianos
4. Bag - bags
5. Window - windows

# data[].attributes.body
1. bed -- beds
2. door -- doors
3. chair -- chairs
4. bottle -- bottles
5. plate -- plates

# data[].attributes.body
1. fish - fishes
2. apple - apples
3. bed - beds
4. book - books
5. pen - pens

# data[].attributes.body
1. pencil case-pencil cases
2. water bottle-water bottles
3. desk- desks
4. chair-chairs
5. bed-beds

# data[].attributes.body
1. pencil - pencils
2. box - boxes
3. ruler - rulers
4.book - books
5. bus - buses

# data[].attributes.body
1. Bottle-bottles
2. Dress-dresses
3. Backpack-backpacks
4. Parent-parents
5. Sticker-stickers

# data[].attributes.body
1C (31) Norman Wong

1.doll-dolls
2.marble-marbles
3.chair-chairs
4.book-books
5.grape-grapes

# data[].attributes.body
1) rabbits-rabbit
2)cats-cat
3)hamsters-hamster
4)dogs-dog
5)bees-bee

# data[].attributes.body
1:Box-Boxes
2: Chair -Chairs
3:Toy-Toys
4: Fish-Fishes
5: Room-Rooms

# data[].attributes.body
1 Card - Cards
2 mask - masks
3 pan  - pans
4 Book - Books
5 tissue - tissues

# data[].attributes.body
Book—books
man—men
Frog—frogs
boy—boys
Toy—toys
Card—cards

# data[].attributes.body
1. eraser - erasers
2. pencil - pencils
3. toy truck - toy trucks
4. bottle - bottles
5. desk - desks

# data[].attributes.body
1. Book——books
2. Lego——Legos
3. Window—-Windows
4. Pokémon card—-Pokémon cards
5.Doll—-Dolls

# data[].attributes.body
1. Pencil - pencils
2. Photo - photos
3. Glue - glues
4. Fan - fans
5. Paper - papers

# data[].attributes.body
1.Cat - Cats
2.Meal - Meals
3.Football -
Footballs
4.House - Houses
5.Phone - Phones

# data[].attributes.body
1. Room — rooms
2. Birthday — birthdays
3. Door — doors
4. Mat — mats
5. Toy — toys

# data[].attributes.body
1. pen -- pens
2. pillow -- pillows
3. cup -- cups
4. flower--flowers
5  book -- books