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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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TTEST
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. attend attend
attended
attending
attends
Verb 57 7.34 16.84 1,953.69 0.7 23 3,764,819 14.44
2. cf CF Verb 13 3.6 15.97 4,923.25 0.07 2 47,085,635 1.15
3. visit visit
visited
visiting
visits
Verb 13 3.06 10.13 62.02 0.57 9 11,477,429 4.74
4. provide provide
provided
provides
providing
Verb 18 2.17 9.37 9.67 0.7 12 8,835,127 6.15
5. run ran
run
running
runs
Verb 15 2.11 8.95 9.8 0.68 11 7,987,402 6.81
6. base based Verb 10 2.1 8.22 13.16 0.26 3 30,741,161 1.77
7. open open
opened
Verb 10 1.94 8.01 9.67 0.61 7 21,655,909 2.51
8. refer refer
referred
Verb 6 1.47 6.5 5.46 0.53 5 26,326,279 2.06
9. hold held
hold
holding
holds
Verb 12 1.13 7.74 1.89 0.62 8 9,733,546 5.58
10. offer offer
offered
offering
offers
Verb 7 0.76 6.1 0.81 0.58 6 13,009,411 4.18
11. start start
started
starting
Verb 6 -0.42 4.94 0.15 0.53 5 14,805,451 3.67
12. show show
showed
shown
Verb 6 -1.74 4.39 1.78 0.6 6 20,190,937 2.69
13. leave leave
Leaving
left
Verb 6 -1.88 4.35 2 0.6 6 10,374,271 5.24
14. work work
worked
Verb 6 -1.97 4.32 2.17 0.43 4 18,051,416 3.01
15. may may Verb 12 -2.24 6.45 3.07 0.62 8 9,601,542 5.66
16. will will
wo
Verb 28 -3.3 8.92 6.85 0.71 16 7,788,426 6.98
17. find find
finding
found
Verb 5 -5.27 2.9 8.34 0.4 3 32,888,088 1.65
18. should should Verb 6 -5.36 3.5 9.08 0.48 4 14,178,876 3.83
19. give gave
give
given
gives
giving
Verb 6 -6.5 3.3 11.68 0.53 5 14,702,644 3.7
20. take take
taken
taking
took
Verb 8 -7.92 4.07 16.75 0.66 8 12,713,959 4.28
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