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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 'm
're
's
are
be
been
being
is
was
were
Verb 73 -27.32 10.31 266.42 0.83 37 2,880,349 18.87
2. have had
has
have
having
Verb 21 -16.14 6.61 64.21 0.76 17 4,112,913 13.22
3. say said
say
Verb 5 -8.33 2.4 15.08 0.56 5 21,537,329 2.52
4. can can Verb 6 -5.53 3.47 9.59 0.53 5 21,895,056 2.48
5. make made
make
making
Verb 5 -4.76 3 7.36 0.48 4 16,683,551 3.26
6. get get
getting
got
Verb 6 -4.04 3.76 6.27 0.53 5 12,172,051 4.47
7. see saw
see
Verb 6 -3.19 3.97 4.48 0.53 5 16,332,374 3.33
8. take take
taken
takes
taking
took
Verb 12 -0.27 7.06 0.07 0.66 9 9,056,887 6
9. hit hit Verb 5 1.89 7.34 23.09 0.4 3 24,521,816 2.22
10. remove removed
removes
removing
Verb 6 2.11 8 31.56 0.53 5 17,895,826 3.04
11. put put
putting
Verb 13 2.2 8.76 12.56 0.61 9 9,397,705 5.78
12. don donned Verb 5 2.22 11.99 801.67 0.56 5 15,613,491 3.48
13. wear Wear
wearing
wears
wore
Verb 64 7.88 18.11 4,297.62 0.82 39 2,339,100 23.24
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