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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. be 's
are
be
been
being
is
was
were
Verb 163 -9.65 13.89 79.43 0.89 71 929,700 58.47
2. have had
has
have
having
Verb 40 -7.7 9.5 29.78 0.83 32 2,537,236 21.42
3. will will
wo
Verb 8 -3.56 4.82 5.74 0.61 7 13,366,050 4.07
4. can can Verb 9 -3.08 5.32 4.79 0.68 9 12,110,497 4.49
5. make made
make
making
Verb 7 -2.87 4.55 4.03 0.63 7 10,499,878 5.18
6. use use
used
using
Verb 5 -1.54 3.89 1.41 0.56 5 12,091,811 4.5
7. need need
needed
Verb 6 0.62 5.59 0.52 0.53 5 24,551,834 2.21
8. avoid avoid Verb 6 2.11 8.03 32.55 0.6 6 17,089,961 3.18
9. prevent prevent Verb 6 2.15 8.21 38.28 0.6 6 11,690,276 4.65
10. protect protect
protecting
Verb 7 2.42 9.18 69.26 0.58 6 15,191,344 3.58
11. must must Verb 14 2.44 9.14 17.21 0.73 13 6,573,913 8.27
12. should should Verb 19 2.61 9.82 17.24 0.7 13 5,840,142 9.31
13. observe observe
observed
observing
Verb 8 2.66 10.05 116.76 0.66 8 14,772,178 3.68
14. ensure ensure Verb 10 2.85 10 83.28 0.7 10 10,414,391 5.22
15. take take
taken
takes
taking
took
Verb 230 14.37 19.94 3,983.02 0.9 81 676,892 80.31
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