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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. vote vote
voted
voting
Verb 25 4.93 15.51 1,815.43 0.75 17 5,737,132 9.48
2. return return
returned
returning
Verb 10 2.7 9.42 50.24 0.64 8 9,902,490 5.49
3. support support
supported
Verb 9 2.59 9.19 48.43 0.61 7 14,133,527 3.85
4. demand demanded
demanding
Verb 5 1.99 7.85 36.61 0.28 2 47,887,456 1.14
5. ask ask
asked
asking
Verb 9 1.71 7.56 6.81 0.64 8 12,315,191 4.41
6. call call
called
Verb 8 1.6 7.21 5.95 0.61 7 11,181,996 4.86
7. say said
say
saying
says
Verb 29 1.44 10.16 2.9 0.71 16 6,984,102 7.78
8. tell tell
told
Verb 9 1.36 7.21 3.41 0.61 7 24,845,346 2.19
9. meet meet
meeting
meets
met
Verb 5 1.31 5.92 4.2 0.34 3 39,296,776 1.38
10. will will Verb 22 0.98 9.26 1.24 0.71 14 12,326,834 4.41
11. become became
become
Verb 6 0.64 5.61 0.56 0.6 6 13,790,097 3.94
12. want want
wanted
wanting
Verb 7 0.43 5.87 0.22 0.63 7 10,079,537 5.39
13. give gave
give
giving
Verb 6 -0.98 4.69 0.69 0.48 4 16,882,413 3.22
14. come came Verb 6 -1.51 4.48 1.43 0.53 5 24,461,343 2.22
15. could could Verb 5 -2.57 3.54 3.11 0.56 5 23,091,412 2.35
16. can can Verb 9 -2.86 5.37 4.28 0.61 7 11,552,004 4.71
17. would would Verb 10 -3.04 5.67 4.82 0.66 9 9,517,569 5.71
18. know knew
know
known
Verb 5 -3.11 3.39 4.11 0.48 4 16,723,240 3.25
19. have HAD
has
have
Verb 42 -6.69 9.76 24.57 0.78 25 3,642,327 14.92
20. do did
do
Verb 7 -10.88 3.26 24.21 0.63 7 11,941,925 4.55
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