# data[].attributes.body
broken, stolen, harden, darken, shorten, widen, strengthen

# data[].attributes.body
weaken
harden
widen
darken
wooden
-kaiya

# data[].attributes.body
golden
wooden
harden
flatten
widen
soften
darken
weaken
taken
stolen
thicken
harden
broken
brighten
eaten
soften

# data[].attributes.body
golden
weaken
harden
taken
stolen

# data[].attributes.headline
golden  broken wooden brighten harden lighten sadden shorten widen weaken eaten stolen soften 

# data[].attributes.subject
golden  broken wooden brighten harden lighten sadden shorten widen weaken eaten stolen soften 

# data[].attributes.body
golden
wooden
brighten
darken
flatten
harden
lighten
sadden
sharpen
shorten
weaken
strengthen

# data[].attributes.body
widen
weaken
broken
eaten
harden
stolen
soften

# data[].attributes.body
lighten
brighten
soften
strengthen
sadden
harden
smoothen
toughen
roughen
fasten
weaken
widen
golden
loosen
sharpen
flatten
sweeten
darken
enlighten
tighten
thicken

# data[].attributes.body
Widen
Soften
Darken
Flatten
Weaken
Broken
Weaken
Strengthen
Toughen
Roughen
Sadden
Harden

# data[].attributes.body
golden     darken
harden     soften
sadden taken
broken stolen
flatten brighten
shorten sharpen
widen spoken
awaken weaken
strengthen eaten

# data[].attributes.body
broken
stolen
darken
lighten
harden
soften
weaken
widen
strengthen
ridden
given
sharpen
taken
liven
loosen
tighten
written

# data[].attributes.headline
Words I can think of with the suffix -en

# data[].attributes.subject
Words I can think of with the suffix -en

# data[].attributes.body
Soften
Harden
Sadden
Broken
Strengthen
Weaken
Brighten
Darken
Widen
Taken
Eaten
Stolen
Toughen
Flatten

# data[].attributes.body
Lighten
Broken
Darken
Smarten
Eaten
Weaken
Written

# data[].attributes.body
darken
lighten
weaken
soften
strengthen
widen

# data[].attributes.body
Broken
Stolen
Lighten
Sadden
Sweeten
Toughen
Thicken
Flatten
Ridden
Spoken
Sharpen
weaken

# data[].attributes.body
Broken
Sadden
Weaken
Strengthen
Harden
Spoken
Taken
Darken
Lighten
Eaten
Enlighten
Sweeten
Stolen
Flatten
Sharpen
Loosen