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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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Collocate's part of speech:
excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. join join
joined
Verb 5 1.6 6.46 9.08 0.56 5 13,444,438 4.04
2. include include
included
includes
Verb 5 0.93 5.42 1.48 0.48 4 33,871,647 1.6
3. help help
helping
Verb 5 0.73 5.21 0.78 0.56 5 13,282,059 4.09
4. feel feel Verb 5 0.08 4.7 0.01 0.56 5 21,528,973 2.52
5. find find
found
Verb 7 -0.38 5.42 0.13 0.63 7 10,622,804 5.12
6. give gave
give
given
giving
Verb 9 -0.48 6.12 0.2 0.64 8 13,903,950 3.91
7. may may Verb 7 -0.91 5.19 0.63 0.58 6 17,853,612 3.04
8. could could Verb 9 -1.46 5.77 1.45 0.68 9 9,026,063 6.02
9. will will Verb 15 -1.72 7.28 2.1 0.74 14 9,486,320 5.73
10. come came
come
coming
Verb 6 -2.48 4.16 3.1 0.6 6 10,496,253 5.18
11. take take
taken
took
Verb 6 -3.47 3.9 5.05 0.6 6 15,885,593 3.42
12. see saw
seeing
seen
Verb 5 -4.67 3.02 7.18 0.56 5 16,804,437 3.23
13. make made
make
making
Verb 6 -4.7 3.63 7.69 0.6 6 17,234,792 3.15
14. can can Verb 7 -5.62 3.97 10.34 0.35 3 26,419,089 2.06
15. get get
getting
Verb 5 -5.72 2.81 9.36 0.56 5 22,478,078 2.42
16. would would Verb 8 -5.8 4.39 11.3 0.61 7 13,415,724 4.05
17. have 'd
had
has
have
Verb 53 -7.32 10.45 29.78 0.65 31 3,452,267 15.75
18. say said Verb 7 -7.35 3.7 14.68 0.53 5 16,670,266 3.26
19. do did
do
does
doing
Verb 11 -10.12 4.9 26.41 0.41 5 14,194,765 3.83
20. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 150 -15.76 13.26 162.71 0.87 72 983,093 55.29
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