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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 're
are
be
been
being
is
was
were
Verb 122 -16.13 12.56 158.39 0.84 51 1,671,045 32.53
2. have had
has
have
Verb 30 -11.5 8.18 47.57 0.76 18 4,585,216 11.86
3. would would Verb 10 -3.59 5.55 6.19 0.44 5 21,436,022 2.54
4. see see Verb 7 -2.46 4.67 3.19 0.41 3 52,058,219 1.04
5. find find
found
Verb 7 0 5.61 0 0.58 6 12,434,237 4.37
6. come came
come
coming
Verb 16 1.36 8.6 2.82 0.63 10 11,407,783 4.77
7. bring bringing
brought
Verb 7 1.47 6.79 4.93 0.58 6 17,610,996 3.09
8. swamp swamped Verb 5 2.22 11.99 803 0.4 3 21,755,863 2.5
9. attract attract
attracted
Verb 6 2.26 8.87 66.56 0.6 6 19,571,938 2.78
10. settle settle
settled
Verb 7 2.45 9.39 82.73 0.58 6 12,174,387 4.47
11. arrive arrive
arrived
arriving
Verb 16 3.75 12.01 226.61 0.67 12 8,759,396 6.21
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