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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:
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excelSpreadsheet
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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 're
am
are
be
been
being
is
was
were 		Verb 202 -25.52 13.83 349.02 0.88 69 916,423 59.32
2. do did
do
does 		Verb 10 -20.03 3.77 57.19 0.56 6 13,266,847 4.1
3. have 'd
've
had
has
have
having 		Verb 84 -9.93 11.73 52.73 0.83 45 1,818,121 29.9
4. get get
got 		Verb 8 -7.53 4.13 15.74 0.57 6 12,338,940 4.41
5. take take
taking
took 		Verb 6 -7.29 3.18 13.56 0.6 6 9,306,804 5.84
6. make made
make
makes
making 		Verb 9 -6.6 4.66 13.86 0.68 9 8,806,813 6.17
7. come came
come
coming 		Verb 7 -4.87 4.11 8.45 0.58 6 11,680,907 4.65
8. would would Verb 19 -4.86 7.42 11.44 0.74 15 7,335,320 7.41
9. say said
say
says 		Verb 22 -4.59 7.93 10.94 0.75 17 7,581,626 7.17
10. could could Verb 9 -4.34 5.05 7.8 0.61 7 13,831,120 3.93
11. should should Verb 6 -3.68 3.85 5.45 0.48 4 18,995,384 2.86
12. use use
used
using 		Verb 7 -3.64 4.37 5.64 0.63 7 17,754,656 3.06
13. will will Verb 21 -3.2 8.02 6.17 0.66 11 6,821,443 7.97
14. want want
wants 		Verb 6 -2.46 4.17 3.05 0.6 6 13,161,482 4.13
15. can can Verb 25 -2.2 8.76 3.45 0.7 14 7,066,486 7.69
16. put put
putting 		Verb 5 -1.93 3.75 2.01 0.56 5 24,015,773 2.26
17. become became
become
becomes
becoming 		Verb 5 -1.83 3.78 1.85 0.48 4 14,728,088 3.69
18. mean mean
means 		Verb 5 -1.74 3.81 1.72 0.56 5 23,437,948 2.32
19. might might Verb 5 -1.4 3.94 1.21 0.56 5 17,911,472 3.03
20. must must Verb 7 -0.99 5.16 0.71 0.63 7 10,505,570 5.17
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