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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
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were
Verb 103 -37.6 11.14 450.18 0.78 30 3,169,086 17.15
2. have had
has
have
having
Verb 39 -17.8 8.63 91.74 0.75 19 5,862,378 9.27
3. can can Verb 6 -10.17 2.8 20.51 0.6 6 12,206,360 4.45
4. say said
say
says
Verb 11 -7.95 5.15 19.1 0.61 7 18,669,392 2.91
5. will will Verb 9 -7.21 4.57 15.59 0.64 8 10,333,583 5.26
6. make made
make
making
Verb 7 -6.7 3.79 12.93 0.45 4 14,290,742 3.8
7. see saw
see
Verb 8 -4.89 4.55 8.89 0.27 2 53,459,040 1.02
8. give give
given
gives
Verb 5 -4.37 3.08 6.52 0.56 5 15,748,299 3.45
9. use use
used
Verb 5 -4.15 3.13 6.09 0.48 4 18,711,410 2.91
10. could could Verb 8 -3.85 4.76 6.36 0.54 6 17,187,394 3.16
11. want want
wanted
Verb 5 -2.38 3.6 2.77 0.48 4 17,181,286 3.16
12. would would Verb 26 -1.66 8.99 2.14 0.64 11 9,987,562 5.44
13. must must Verb 6 -0.92 4.71 0.62 0.48 4 18,556,762 2.93
14. leave leave
left
Verb 6 -0.46 4.92 0.18 0.6 6 14,111,577 3.85
15. provide provided
providing
Verb 5 -0.41 4.4 0.14 0.56 5 19,761,599 2.75
16. should should Verb 14 0.3 7.74 0.1 0.56 7 11,632,607 4.67
17. accept accept
accepted
accepting
Verb 5 1.19 5.74 3.05 0.4 3 20,481,181 2.65
18. reduce reduce
reduced
Verb 5 1.31 5.91 4.15 0.48 4 50,537,128 1.08
19. suggest suggest
suggested
suggests
Verb 7 1.39 6.69 4.1 0.45 4 24,884,938 2.18
20. discuss discuss
discussed
discussing
Verb 5 1.46 6.17 6.11 0.48 4 27,960,589 1.94
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