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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 're
's
are
be
been
Being
is
was
were
Verb 110 -17.56 12.14 172.71 0.77 38 2,252,518 24.13
2. would would Verb 5 -7.13 2.58 12.42 0.56 5 17,503,585 3.11
3. have had
has
have
Verb 49 -6.02 10.33 21.72 0.75 26 2,933,447 18.53
4. know knew
know
Verb 5 -3.47 3.29 4.79 0.48 4 16,051,375 3.39
5. find find
finding
found
Verb 5 -0.83 4.19 0.51 0.34 3 30,009,624 1.81
6. tell telling
tells
told
Verb 5 -0.11 4.57 0.01 0.48 4 20,443,949 2.66
7. work working Verb 5 0.26 4.82 0.07 0.56 5 29,609,961 1.84
8. leave leave
left
Verb 6 0.68 5.64 0.65 0.48 4 45,117,420 1.2
9. base based Verb 5 1.62 6.51 9.6 0.4 3 29,877,866 1.82
10. report reported Verb 6 1.91 7.36 16.73 0.48 4 49,995,054 1.09
11. expel expel
expelled
expelling
Verb 8 2.81 13.04 1,039.6 0.51 5 27,527,734 1.97
12. say said
say
saying
says
Verb 53 4.16 12.68 41.58 0.68 19 5,354,698 10.15
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