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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
is
was
were 		Verb 93 -21.24 11.4 211.01 0.7 34 2,767,145 19.64
2. have had
has
have
having 		Verb 37 -9.09 9.1 36.91 0.69 14 9,130,117 5.95
3. do did
do
does 		Verb 10 -9.07 4.69 22.23 0.46 6 13,680,971 3.97
4. would would Verb 12 -2.65 6.35 4.08 0.52 7 16,624,047 3.27
5. think thinks
thought 		Verb 5 -2.42 3.59 2.85 -0.01 1 54,347,236 1
6. take take
taking
took 		Verb 7 -2.11 4.77 2.51 0.38 4 17,357,861 3.13
7. make made
Make
makes
making 		Verb 9 -2.07 5.58 2.57 0.68 9 14,546,274 3.74
8. give gave
give
given
gives 		Verb 6 -1.25 4.57 1.05 0.6 6 15,278,574 3.56
9. find find
Finding
found 		Verb 5 -0.87 4.17 0.55 0.56 5 24,059,700 2.26
10. say said
say
saying
says 		Verb 20 -0.66 8.44 0.39 0.49 8 12,745,858 4.26
11. see see
seeing
sees 		Verb 12 -0.41 7.01 0.15 0.53 6 19,767,549 2.75
12. look look
looking 		Verb 7 -0.34 5.44 0.1 0.13 2 31,227,401 1.74
13. can can Verb 20 0.22 8.72 0.05 0.59 11 11,766,465 4.62
14. work working Verb 5 0.23 4.8 0.06 0.56 5 24,307,202 2.24
15. need need
needs 		Verb 6 0.55 5.53 0.39 0.53 5 18,377,429 2.96
16. tell tell
tells
told 		Verb 7 0.64 6.01 0.54 0.58 6 17,997,335 3.02
17. try tried
tries
try 		Verb 6 0.89 5.82 1.24 0.25 2 35,465,215 1.53
18. might might Verb 7 1.03 6.32 1.73 0.53 5 12,405,277 4.38
19. will will Verb 26 1.41 9.87 2.8 0.59 10 9,015,141 6.03
20. may may Verb 14 1.56 8.39 4.19 0.54 5 22,926,522 2.37
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