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HASK | COLLOCATION  DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. enter enter
entered
Entering
enters
Verb 7 2.25 8.37 34.45 0.26 3 20,578,476 2.64
2. lie lie
lies
Verb 6 2.05 7.77 25.49 0.29 3 31,814,128 1.71
3. place place
placed
Verb 6 2.01 7.63 22.24 0.29 3 19,337,563 2.81
4. occur occur
occurring
occurs
Verb 5 1.72 6.76 12.89 0.28 2 54,353,817 1
5. move moved
moves
moving
Verb 6 1.31 6.28 3.71 0.48 4 22,266,291 2.44
6. show show
showed
shown
shows
Verb 8 1.29 6.88 3.06 0.61 7 10,580,748 5.14
7. put put Verb 6 0.39 5.42 0.18 0.6 6 14,064,371 3.87
8. take take
takes
taking
Verb 8 -1.73 5.31 1.89 0.61 7 11,485,776 4.73
9. give gave
give
given
Verb 5 -1.93 3.75 2.01 0.56 5 21,967,493 2.47
10. would would Verb 14 -2.07 6.98 2.82 0.66 10 16,197,198 3.36
11. go go
goes
going
went
Verb 9 -2.61 5.44 3.7 0.64 8 10,290,234 5.28
12. could could Verb 5 -3.09 3.39 4.06 0.34 3 36,965,232 1.47
13. can can Verb 9 -3.49 5.23 5.76 0.55 6 16,943,210 3.21
14. will will Verb 7 -4.65 4.15 8.01 0.49 4 19,250,564 2.82
15. do did
do
does
Verb 5 -15.51 1.66 31.68 0.56 5 17,890,780 3.04
16. be 're
's
are
be
been
being
is
was
were
Verb 98 -20.96 11.59 211.07 0.74 30 3,774,568 14.4
17. have had
has
have
Verb 13 -22.64 4.54 78.52 0.59 8 12,051,292 4.51
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