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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:
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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 's
are
be
been
being
is
was
were 		Verb 146 -30.09 12.58 388.57 0.88 64 1,229,748 44.2
2. do did
does 		Verb 8 -20.57 2.95 53.47 0.57 6 27,319,413 1.99
3. have 've
had
has
have 		Verb 40 -18.64 8.66 98.12 0.82 29 3,319,638 16.38
4. say said
say 		Verb 5 -15.34 1.67 30.72 0.48 4 26,953,577 2.02
5. get get
getting
got 		Verb 6 -8.34 3.03 16.07 0.48 4 17,918,242 3.03
6. would would Verb 10 -8.3 4.79 19.48 0.7 10 8,591,589 6.33
7. will will
wo 		Verb 10 -7.02 4.96 15.63 0.7 10 9,225,619 5.89
8. can can Verb 11 -6.48 5.36 14.53 0.68 10 9,524,209 5.71
9. come came
come
comes 		Verb 6 -4.88 3.59 8.05 0.6 6 21,127,009 2.57
10. could could Verb 8 -4.19 4.69 7.18 0.61 7 11,597,282 4.69
11. should should Verb 5 -3.82 3.21 5.43 0.56 5 13,982,337 3.89
12. give gave
give
given
gives 		Verb 7 -3.22 4.47 4.73 0.63 7 11,475,922 4.74
13. want want
wanted
wants 		Verb 6 -1.98 4.31 2.19 0.6 6 10,427,347 5.21
14. must must Verb 5 -1.64 3.85 1.56 0.48 4 22,539,294 2.41
15. call called
calling
calls 		Verb 5 -0.63 4.28 0.31 0.34 3 25,551,640 2.13
16. mean mean
means
meant 		Verb 7 -0.39 5.42 0.13 0.58 6 15,876,497 3.42
17. bring bring
brings
brought 		Verb 5 -0.12 4.57 0.01 0.56 5 22,229,618 2.45
18. provide provide
providing 		Verb 7 0.29 5.78 0.1 0.58 6 20,794,926 2.61
19. base based Verb 6 1.48 6.51 5.53 0.6 6 14,881,366 3.65
20. establish establish
established
establishing 		Verb 8 2.08 7.91 16.22 0.61 7 12,330,341 4.41
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