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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
Verb 12 -21.92 4.3 73.12 0.7 11 9,620,394 5.65
2. be are
be
being
is
was
were
Verb 132 -13.22 12.98 121.7 0.87 59 2,023,550 26.86
3. do do
does
done
Verb 7 -11.29 3.22 25.29 0.63 7 11,184,398 4.86
4. would would Verb 6 -5.8 3.42 10.22 0.6 6 15,886,984 3.42
5. can can Verb 8 -3.57 4.82 5.76 0.61 7 12,530,304 4.34
6. may may Verb 5 -1.25 4 1.01 0.56 5 12,880,700 4.22
7. give gave
given
gives
Verb 6 -1.08 4.64 0.82 0.53 5 17,001,603 3.2
8. remedy remedy Verb 5 2.22 11.66 637.45 0.56 5 14,686,360 3.7
9. occur occur
occurred
occurring
occurs
Verb 7 2.24 8.33 32.94 0.49 5 22,974,427 2.37
10. indicate indicate
indicating
Verb 7 2.33 8.67 45.23 0.26 3 25,278,021 2.15
11. cause cause
caused
causing
Verb 8 2.33 8.51 31.16 0.57 6 12,475,076 4.36
12. rectify rectified
rectify
Verb 6 2.44 12.76 1,143.54 0.6 6 19,684,783 2.76
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