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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. study studied
studies
study
studying
Verb 10 2.89 10.2 98.75 0.64 8 10,245,570 5.31
2. teach taught
teach
Verb 7 2.37 8.86 53.18 0.53 5 13,268,267 4.1
3. read read
reading
Verb 6 1.44 6.45 5.02 0.53 5 14,016,373 3.88
4. call called Verb 5 0.09 4.71 0.01 0.4 3 25,716,215 2.11
5. must must Verb 6 -0.2 5.06 0.04 0.29 3 33,809,550 1.61
6. become became
become
becomes
Verb 5 -0.5 4.35 0.21 0.34 3 32,150,054 1.69
7. should should Verb 5 -2.29 3.63 2.61 0.17 2 34,938,523 1.56
8. could could Verb 8 -2.42 5.11 3.19 0.44 5 22,251,424 2.44
9. make made
make
makes
making
Verb 5 -6.45 2.69 10.89 0.56 5 16,571,809 3.28
10. do did
do
does
doing
Verb 16 -8.36 6.37 23.64 0.65 10 10,217,948 5.32
11. will will Verb 5 -8.52 2.38 15.41 0.48 4 26,344,476 2.06
12. can can Verb 5 -8.62 2.36 15.64 0.56 5 18,601,265 2.92
13. have had
has
have
having
Verb 34 -14.39 8.38 66.58 0.55 14 7,947,800 6.84
14. be 's
are
be
been
being
is
was
were
Verb 128 -22.33 12.43 251.12 0.64 38 2,365,155 22.98
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