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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:
excelSpreadsheet
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TTEST
MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. provide provide
provided
provides
providing
Verb 27 3.63 11.24 43.66 0.72 18 6,740,333 8.06
2. run ran
run
running
runs
Verb 16 2.42 9.34 14.77 0.72 13 6,634,240 8.19
3. attend attend
attended
attending
attends
Verb 8 2.31 8.45 29.31 0.61 7 10,921,950 4.98
4. open open
opened
opens
Verb 11 2.23 8.53 15.24 0.68 10 8,506,061 6.39
5. attach attached Verb 5 1.89 7.35 23.34 0.48 4 26,227,417 2.07
6. visit visit
visited
visits
Verb 5 1.42 6.1 5.54 0.56 5 17,360,322 3.13
7. start start
started
starting
starts
Verb 7 0.18 5.72 0.04 0.63 7 12,332,483 4.41
8. should should Verb 14 -1 7.27 0.8 0.65 11 6,234,352 8.72
9. keep keep
kept
Verb 5 -1.3 3.98 1.07 0.56 5 18,398,757 2.95
10. need need
needed
needs
Verb 5 -2.44 3.58 2.86 0.48 4 14,461,065 3.76
11. go go
goes
going
went
Verb 23 -2.87 8.37 5.25 0.57 12 9,813,226 5.54
12. use used Verb 8 -4.13 4.7 7 0.51 5 14,106,843 3.85
13. take take
taken
took
Verb 13 -4.22 6.28 8.32 0.62 9 9,645,301 5.64
14. would would Verb 17 -7.4 6.69 20.08 0.68 13 8,346,551 6.51
15. see see
seen
Verb 8 -7.81 4.09 16.45 0.57 6 22,206,618 2.45
16. will will Verb 11 -9.4 4.98 23.56 0.61 8 10,747,375 5.06
17. could could Verb 5 -9.4 2.26 17.22 0.56 5 16,111,937 3.37
18. make made
make
making
Verb 7 -10.23 3.33 21.88 0.58 6 15,258,755 3.56
19. get get
getting
got
Verb 7 -10.44 3.31 22.43 0.58 6 23,403,413 2.32
20. say said
say
says
Verb 11 -12.21 4.69 32.69 0.59 7 30,368,003 1.79
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