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
#10501 have a
#10502 1 an
#10503 religious religion
#10504 feature future
#10505 evening evenings
#10506 Ricahrd Richard
#10507 murder murderer
#10508 haveing having
#10509 semi annual Semi-annual
#10510 search research
#10511 have it has
#10512 The one One
#10513 ha e have
#10514 For this This
#10515 illnesses illness
#10516 recipe recipes
#10517 remitted/ deemed remitted/deemed
#10518 behaviours behavior
#10519 wishing I wish
#10520 itself himself
#10521 world class world-class
#10522 countertops counter tops
#10523 diet diets
#10524 prepares prepare
#10525 Great It's great
#10526 30 p m 30pm
#10527 to that he
#10528 you're ! You're
#10529 Also she She also
#10530 questionaire questionnaire
#10531 18 2018
#10532 calculate calculated
#10533 part partial
#10534 Apologies My apologies
#10535 clarify clarifying
#10536 awsome awesome
#10537 map maps
#10538 still will will still
#10539 was want
#10540 s as
#10541 discover discovering
#10542 I would I'd
#10543 analyze analyse
#10544 toy toys
#10545 smile smiling
#10546 at during the
#10547 who for whom
#10548 15 the 15th
#10549 more move
#10550 entity entities
#10551 great greatest
#10552 large larger
#10553 initiate initiated
#10554 lookin looking
#10555 For As for
#10556 companeis companies
#10557 constantly consistently
#10558 20 $20
#10559 doctors doctor
#10560 pre approval pre-approval
#10561 integrate integrated
#10562 crewmembers crew members
#10563 take be taken
#10564 & i and I
#10565 to feel feeling
#10566 to against
#10567 We When
#10568 going coming
#10569 sections section
#10570 victim victim's
#10571 approximate approximately
#10572 presentations presentation
#10573 et c etc
#10574 basing based
#10575 novice novices
#10576 is consists of
#10577 it's there is
#10578 delaying delay
#10579 our of
#10580 we will to
#10581 entered enter
#10582 wheels wheel
#10583 $ 100 $100
#10584 vote voted
#10585 necesary necessary
#10586 mindset mindsets
#10587 customer the customer's
#10588 you'd you'll
#10589 as compared in comparison
#10590 miles mile
#10591 remind reminding
#10592 some many
#10593 had have been
#10594 datasets data sets
#10595 dedicate dedicated
#10596 regards to regarding
#10597 they were it was
#10598 As in In
#10599 battle battles
#10600 sat sitting

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