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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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excelSpreadsheet
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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
is
was
were
Verb 77 -25.92 10.55 254.57 0.84 43 2,006,809 27.09
2. have had
has
have
having
Verb 21 -16 6.62 63.56 0.77 18 7,359,689 7.39
3. do did
do
does
done
Verb 5 -15.45 1.66 31.54 0.48 4 20,194,031 2.69
4. make made
Make
Verb 5 -4.71 3.01 7.27 0.56 5 14,545,922 3.74
5. go go
going
went
Verb 7 -3.69 4.35 5.79 0.26 3 22,069,325 2.46
6. come came
come
coming
Verb 6 -1.93 4.33 2.1 0.6 6 28,192,703 1.93
7. 's 's Verb 6 1.27 6.22 3.34 0.43 4 36,317,360 1.5
8. stand stand
standing
stood
Verb 5 1.27 5.85 3.72 0.56 5 18,846,065 2.88
9. rise rises
rising
rose
Verb 5 1.75 6.85 14.21 0.56 5 15,665,623 3.47
10. fall fall
falling
falls
fell
Verb 7 1.91 7.47 13.28 0.53 5 12,175,641 4.46
11. build build
built
Verb 7 2.01 7.68 16.99 0.53 5 25,812,648 2.11
12. clean clean
cleaned
cleaning
cleans
Verb 5 2.12 8.94 88.19 0.56 5 14,553,765 3.74
13. smoke smoke
smokes
smoking
Verb 6 2.39 10.51 231.72 0.6 6 30,917,567 1.76
14. sweep sweep
sweeps
swept
Verb 15 3.82 13.91 999.79 0.74 14 7,007,499 7.76
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