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
#24701 sorce source
#24702 invites invitations
#24703 have become became
#24704 toyes toys
#24705 rapped raped
#24706 sought sort
#24707 being would be
#24708 commodities commodity
#24709 circuit circuits
#24710 ten year old ten-year-old
#24711 weigh weighed
#24712 fridge refrigerator
#24713 blue prints blueprints
#24714 Christians Christian
#24715 peers peers'
#24716 especually especially
#24717 Mgmt Management
#24718 rendered render
#24719 in in it into it
#24720 Neuromuscualr Neuromuscular
#24721 in my at
#24722 you' you
#24723 antidepressant antidepressants
#24724 mould mold
#24725 intercourses intercourse
#24726 partly partially
#24727 was were just
#24728 DEVELOPMENTE DEVELOPMENT
#24729 non no
#24730 okay fine
#24731 on sit onsite
#24732 other previous
#24733 above beyond
#24734 Wall The wall
#24735 households household
#24736 Even I I even
#24737 am can
#24738 out outs
#24739 repair repairing
#24740 scale-up scale up
#24741 non-profits nonprofits
#24742 at the on a
#24743 half day a half-day
#24744 Bluray Blu-ray
#24745 be bit
#24746 are that
#24747 all the time always
#24748 Laugher Laughter
#24749 head quarters headquarters
#24750 portofolio portfolio
#24751 drew draws
#24752 i have I need
#24753 extremely so
#24754 it 's it's
#24755 telling asking
#24756 deeps deep
#24757 become was
#24758 growth grows
#24759 attempt try
#24760 13 the 13th of
#24761 has whether
#24762 told advised
#24763 be sure ensure
#24764 supporting supportive
#24765 themost The most
#24766 foot print footprint
#24767 remaining remains
#24768 red-light Green red light green
#24769 him you
#24770 state estate
#24771 preventions prevention
#24772 We therefore Therefore we
#24773 pay roll payroll
#24774 in work working
#24775 likewise like
#24776 it was to be
#24777 hashtag hashtags
#24778 Christian Christian's
#24779 as of in
#24780 ar at
#24781 willing will
#24782 keyed in keyed-in
#24783 wears wear
#24784 cuz cousin
#24785 get obtain a
#24786 caught catch
#24787 and or and/or a
#24788 am enjoying enjoy
#24789 and it had where the weather was
#24790 make send
#24791 december of December
#24792 appartments apartments
#24793 depends depended
#24794 Tiffany s Tiffany's
#24795 be decreased decrease
#24796 information” information ”
#24797 while for
#24798 conclude conclusion
#24799 amongst by
#24800 Alice Alice's

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