Common mistakes in English

Over the last few years, we have corrected millions of words in the texts we have processed. Here, we present a list of common mistakes that we have found. The list is sorted according to the frequency with which we corrected the phrase. Not all corrections are present due to privacy concerns.

Position Before After
#24201 startle startled
#24202 fill in complete
#24203 a goal goals
#24204 chancer changes
#24205 display be displayed
#24206 Last In the past
#24207 have discuss discussed
#24208 so with
#24209 had have the
#24210 rearrange rearranging
#24211 on-board onboard
#24212 handel handle
#24213 multigenerational multi-generational
#24214 bath baths
#24215 to when
#24216 Black the black
#24217 a full time full-time
#24218 could be was
#24219 specific specified
#24220 someplace some place
#24221 postdoc post-doc
#24222 clear clearing
#24223 Want Do you want
#24224 rollercoaster roller-coaster
#24225 stirs stir
#24226 using use of
#24227 higher level higher-level
#24228 nice kind as
#24229 give cause
#24230 rather if
#24231 and only
#24232 happen is happening
#24233 Whereas In contrast
#24234 whishes wishes
#24235 level standard
#24236 hasn’t been wasn’t
#24237 kiddy a
#24238 unfair unfairly
#24239 step in stepped into
#24240 putting to put
#24241 another another's
#24242 affirm affirms
#24243 in a an
#24244 Many There are many
#24245 are knowing know
#24246 dedication dedicated
#24247 backsplash backsplashes
#24248 Totally In total
#24249 learned taught
#24250 batch batches
#24251 disscus discuss
#24252 Here i I
#24253 rehired rehire
#24254 collected collect
#24255 today that
#24256 itt it
#24257 deletion removal
#24258 she one
#24259 telling asking
#24260 acounts accounts
#24261 to get about getting
#24262 cleanroom clean room
#24263 fisco fiscal
#24264 resilience resilient
#24265 weed weeds
#24266 Scot Scott
#24267 comes arrives
#24268 not ( Not
#24269 separates separate
#24270 but !
#24271 question answer
#24272 insure insurance
#24273 advances advanced
#24274 duquments documents
#24275 ( this This
#24276 I am 'I Am
#24277 whatapp WhatsApp
#24278 make render
#24279 story storey
#24280 : I was the
#24281 And looking Looking
#24282 so… so
#24283 odyssey Odysseus
#24284 Jew Jewish
#24285 escalations escalation
#24286 heart heart's
#24287 last in the
#24288 youe your
#24289 in respects with respect
#24290 We Together we
#24291 $ 48 $48
#24292 tails tales
#24293 histories history
#24294 makes to make
#24295 negative negativity
#24296 Derek he
#24297 warmed warned
#24298 –is is
#24299 low earning low-earning
#24300 didn't wouldn't

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