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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:
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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. win win
winning
wins
won
Verb 33 5.33 13.89 396.22 0.72 17 6,188,683 8.78
2. singles singles Verb 9 3 18.02 29,510.17 0.58 7 15,270,129 3.56
3. watch watch
watched
watching
Verb 10 2.56 9.05 34.89 0.7 10 19,857,824 2.74
4. live live
lived
lives
living
Verb 10 2.18 8.33 15.3 0.46 6 18,384,906 2.96
5. play play
playing
Verb 9 1.79 7.65 7.92 0.58 7 16,884,208 3.22
6. meet meet
meets
met
Verb 5 0.84 5.32 1.13 0.48 4 22,012,892 2.47
7. follow followed
following
Verb 5 0.2 4.78 0.04 0.48 4 31,620,529 1.72
8. leave leave
leaving
left
Verb 6 -0.06 5.14 0 0.53 5 17,163,374 3.17
9. must must Verb 5 -0.94 4.14 0.63 0.56 5 19,114,336 2.84
10. take take
taken
takes
taking
took
Verb 11 -2 6.24 2.54 0.68 10 9,279,390 5.86
11. go go
going
gone
went
Verb 10 -4.11 5.44 7.47 0.64 8 13,783,005 3.94
12. come came
come
comes
Verb 5 -4.34 3.09 6.48 0.34 3 25,631,102 2.12
13. say said
say
Verb 14 -4.86 6.41 10.55 0.62 8 14,998,821 3.62
14. get get
getting
got
Verb 7 -5.54 3.99 10.09 0.58 6 18,261,442 2.98
15. will will Verb 9 -5.79 4.79 11.69 0.5 6 12,669,678 4.29
16. would would Verb 6 -9.68 2.86 19.38 0.53 5 16,743,187 3.25
17. have had
has
have
Verb 33 -16.77 8.12 80.01 0.73 18 5,264,153 10.33
18. be 're
's
are
be
been
being
is
was
were
Verb 102 -31.24 11.31 357.13 0.74 27 4,220,976 12.88
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