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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 am
are
be
been
being
is
was
were
Verb 116 -18.73 12.26 191.9 0.82 49 1,613,430 33.69
2. do did
does
done
Verb 7 -12.95 3.05 29.75 0.58 6 19,377,313 2.81
3. have 'd
had
has
have
having
Verb 57 -5.49 10.88 19.46 0.83 36 2,080,364 26.13
4. would would Verb 12 -3.06 6.26 5.1 0.68 10 9,626,815 5.65
5. make made
make
makes
making
Verb 9 -2.4 5.49 3.26 0.55 6 11,419,600 4.76
6. should should Verb 6 -1 4.68 0.71 0.48 4 18,039,239 3.01
7. could could Verb 10 -0.75 6.34 0.47 0.66 9 11,982,207 4.54
8. become became
become
Verb 6 0.36 5.4 0.15 0.53 5 16,291,643 3.34
9. might might Verb 6 0.58 5.56 0.45 0.53 5 15,149,555 3.59
10. represent represented
representing
Verb 5 1.7 6.71 12.2 0.34 3 29,898,382 1.82
11. appoint appoint
appoints
Verb 5 1.98 7.74 33.44 0.34 3 26,630,881 2.04
12. retain retain
retained
retains
Verb 5 2.01 7.97 40.67 0.48 4 18,628,888 2.92
13. exercise exercised
exercises
exercising
Verb 5 2.07 8.36 56.22 0.48 4 18,527,850 2.93
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