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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 'm
's
are
be
been
being
is
was
were
Verb 125 -18.67 12.51 195.54 0.88 61 1,070,266 50.79
2. have 'd
had
has
have
having
Verb 25 -15.68 7.24 66.27 0.78 20 5,150,972 10.55
3. see saw
see
seeing
seen
Verb 6 -3.69 3.85 5.51 0.6 6 16,080,713 3.38
4. know know
knowing
known
Verb 7 -2.83 4.57 3.92 0.58 6 17,108,281 3.18
5. could could Verb 7 -2.27 4.72 2.81 0.63 7 18,136,471 3
6. go go
goes
going
gone
went
Verb 12 -1.84 6.56 2.25 0.73 12 7,113,840 7.64
7. end end
ended
Verb 5 1.74 6.82 13.79 0.48 4 20,335,192 2.67
8. die die
died
dying
Verb 9 2.42 8.72 30.49 0.64 8 8,989,755 6.05
9. scream scream
screamed
screaming
Verb 11 3.25 12.59 538.64 0.66 9 9,348,716 5.81
10. writhe writhed
writhing
Verb 11 3.31 16.02 6,009.98 0.68 10 7,040,265 7.72
11. prolong prolong
prolonged
prolonging
prolongs
Verb 15 3.86 16.35 5,555.76 0.71 12 7,064,859 7.69
12. suffer suffer
suffered
suffering
suffers
Verb 27 5.01 14.34 716.59 0.81 24 4,990,617 10.89
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