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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. blend blend
blending
Verb 6 2.42 11.76 566.15 0.15 2 40,295,389 1.35
2. receive receive
received
receiving
Verb 10 2.38 8.66 22.95 0.7 10 10,196,359 5.33
3. claim claim
claimed
claiming
Verb 7 1.93 7.5 13.77 0.63 7 14,071,682 3.86
4. avoid avoid
Avoiding
avoids
Verb 5 1.7 6.7 11.98 0.48 4 16,233,929 3.35
5. pay paid
pay
Verb 5 0.53 5.04 0.38 0.56 5 11,131,525 4.88
6. give gave
give
given
gives
giving
Verb 6 -2.75 4.08 3.6 0.6 6 16,112,009 3.37
7. see see
seen
Verb 8 -3.83 4.76 6.33 0.51 5 18,452,492 2.95
8. will will Verb 9 -5.81 4.79 11.73 0.5 6 18,226,390 2.98
9. can can Verb 9 -5.89 4.77 11.96 0.64 8 12,939,483 4.2
10. make made
make
makes
Verb 5 -7.31 2.55 12.72 0.56 5 14,530,761 3.74
11. get get
got
Verb 5 -7.46 2.53 13.06 0.34 3 18,756,660 2.9
12. would would Verb 8 -7.69 4.1 16.29 0.61 7 10,071,649 5.4
13. have 've
had
has
have
having
Verb 38 -14.85 8.73 72.13 0.82 29 3,540,308 15.35
14. be 's
are
be
been
is
was
were
Verb 166 -19.57 13.42 227.76 0.86 66 1,118,625 48.59
15. do did
do
does
Verb 6 -19.72 1.99 44.92 0.6 6 18,068,051 3.01
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