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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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MI3
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. lead leading
led 		Verb 5 1.1 5.62 2.41 0.48 4 16,130,186 3.37
2. ask ask
asked
asking 		Verb 7 0.95 6.26 1.42 0.49 5 12,677,392 4.29
3. work work
working 		Verb 7 0.83 6.16 1.01 0.58 6 12,669,919 4.29
4. become became
become
becoming 		Verb 6 0.35 5.39 0.15 0.6 6 16,562,814 3.28
5. feel feel
felt 		Verb 5 0.23 4.8 0.06 0.48 4 24,128,426 2.25
6. may may Verb 6 -1.13 4.62 0.88 0.53 5 15,910,426 3.42
7. come came
come
comes
coming 		Verb 8 -1.14 5.51 0.94 0.61 7 8,522,390 6.38
8. should should Verb 5 -1.56 3.88 1.44 0.48 4 17,095,282 3.18
9. see saw
see
seen 		Verb 8 -2.25 5.15 2.87 0.61 7 11,897,600 4.57
10. will will Verb 9 -3.72 5.18 6.31 0.55 6 11,911,082 4.56
11. say said
say
says 		Verb 10 -4.62 5.34 8.9 0.66 9 18,763,409 2.9
12. have 'd
've
had
has
have
having 		Verb 62 -4.68 11.24 15.33 0.85 41 2,070,113 26.26
13. can can Verb 7 -5.05 4.07 8.95 0.53 5 20,657,966 2.63
14. would would Verb 8 -5.2 4.49 9.76 0.61 7 11,394,712 4.77
15. do did
do 		Verb 6 -14.47 2.38 31.69 0.6 6 16,745,692 3.25
16. be 'm
are
be
been
being
is
was
were 		Verb 103 -21.29 11.74 219.21 0.8 44 1,725,670 31.5
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