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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. slide SLIDE Verb 20 4.34 13.75 651.54 0.52 5 24,656,037 2.2
2. celebrate celebrate
celebrated
celebrates
Verb 6 2.16 8.25 39.55 0.6 6 19,674,403 2.76
3. edit edited Verb 5 2.11 8.82 80.74 0.17 2 53,622,636 1.01
4. join join
joined
Verb 10 2.06 8.17 12.24 0.54 7 14,918,021 3.64
5. 's 's Verb 14 1.6 8.42 4.48 0.66 10 6,963,557 7.81
6. form form
formed
Verb 5 0.58 5.08 0.46 0.56 5 16,905,186 3.22
7. call Call
called
calling
Verb 9 -0.53 6.1 0.24 0.61 7 14,624,175 3.72
8. work Work
worked
Working
Verb 5 -3.44 3.3 4.68 0.56 5 13,548,990 4.01
9. find find
found
Verb 6 -5.57 3.46 9.56 0.53 5 14,365,529 3.78
10. should should Verb 6 -6.69 3.27 12.1 0.53 5 14,646,333 3.71
11. will will
wo
Verb 15 -9.87 5.99 28.06 0.66 12 7,759,260 7.01
12. take taken
took
Verb 6 -12.09 2.6 24.97 0.48 4 14,368,717 3.78
13. can ca
can
Verb 10 -13.83 4.22 36.38 0.7 10 9,448,369 5.75
14. make made
make
making
Verb 6 -15.1 2.33 32.38 0.6 6 13,264,158 4.1
15. say said
say
saying
Verb 9 -18.66 3.49 49.5 0.64 8 9,158,192 5.94
16. would would Verb 7 -20.02 2.52 47.92 0.63 7 9,689,273 5.61
17. do did
DO
Verb 16 -23.36 5.23 83.4 0.72 14 6,100,519 8.91
18. have 've
had
has
have
Verb 52 -28.99 9.07 186.68 0.82 31 2,760,089 19.69
19. be 's
ARE
be
been
being
is
was
were
Verb 85 -82.17 9.51 1,020.52 0.86 51 1,580,198 34.4
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