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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 104 -8.51 12.53 59.14 0.63 26 3,251,600 16.72
2. have had
has
have
having
Verb 22 -7.91 7.49 25.98 0.43 8 12,867,762 4.22
3. can can Verb 6 -2.52 4.15 3.2 0.53 5 24,903,983 2.18
4. come came
come
comes
Verb 5 -0.77 4.22 0.45 0.34 3 19,369,559 2.81
5. find find
found
Verb 5 0.25 4.81 0.07 0.17 2 28,098,969 1.93
6. provide provided
providing
Verb 5 1.19 5.74 3.06 0.17 2 49,432,811 1.1
7. hit hit
hitting
Verb 5 2.02 8.02 42.4 0.34 3 26,676,581 2.04
8. examine examined Verb 5 2.04 8.18 48.54 0.34 3 33,440,795 1.63
9. wash washed Verb 5 2.14 9.18 106.22 0.4 3 24,424,621 2.23
10. remove remove
removed
Verb 7 2.45 9.35 79.93 0.58 6 13,973,888 3.89
11. contain contain
contained
containing
contains
Verb 9 2.72 9.78 80.69 0.4 5 18,658,925 2.91
12. dissolve dissolved Verb 10 3.14 13.8 1,408.37 0.56 6 9,792,621 5.55
13. resuspend Resuspend
resuspended
resuspending
Verb 16 4 19.89 60,553.66 0.49 6 19,163,629 2.84
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