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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. find find
finding
finds
found
Verb 51 5.96 13.94 216.58 0.83 34 2,673,531 20.33
2. effect effect
effected
effecting
Verb 14 3.71 14.52 1,651.8 0.69 11 11,133,930 4.88
3. seek seek
seeking
sought
Verb 8 2.31 8.45 29.3 0.66 8 15,037,874 3.61
4. prove proved
proven
proves
proving
Verb 6 1.93 7.42 17.83 0.6 6 11,261,228 4.83
5. offer offer
offered
offering
offers
Verb 7 1.7 7.09 8.05 0.63 7 9,623,580 5.65
6. like like Verb 6 1 5.93 1.69 0.43 4 32,429,234 1.68
7. provide provide Verb 7 0.97 6.28 1.51 0.63 7 11,114,559 4.89
8. take take
taken
takes
taking
took
Verb 11 -1.29 6.44 1.22 0.64 9 10,037,012 5.42
9. should should Verb 5 -2.06 3.7 2.23 0.48 4 24,299,146 2.24
10. can can Verb 13 -2.79 6.57 4.49 0.72 12 6,590,424 8.25
11. will will Verb 10 -4.06 5.45 7.38 0.7 10 14,362,756 3.78
12. make made
make
makes
Verb 5 -6.02 2.76 9.98 0.56 5 16,896,518 3.22
13. would would Verb 5 -9.27 2.28 17.11 0.56 5 22,126,351 2.46
14. have had
has
have
Verb 33 -13.76 8.33 62.17 0.79 24 4,020,384 13.52
15. be 're
's
am
are
be
been
being
is
was
were
Verb 166 -15.18 13.63 158.54 0.89 67 1,053,771 51.59
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