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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. say said
saying
says 		Verb 70 5.72 13.92 105.9 0.52 13 7,097,558 7.66
2. grin grinned Verb 7 2.59 11.13 305.97 0.13 2 30,766,613 1.77
3. meet meet
meeting
meets
met 		Verb 9 2.28 8.4 21.87 0.55 6 14,426,887 3.77
4. write writes
wrote 		Verb 7 1.62 6.98 6.82 0.58 6 23,882,925 2.28
5. tell tell
told 		Verb 7 0.71 6.06 0.69 0.58 6 13,139,792 4.14
6. find find
found 		Verb 5 -0.76 4.22 0.44 0.34 3 33,037,994 1.65
7. take take
taken
took 		Verb 8 -1.47 5.4 1.44 0.51 5 16,681,644 3.26
8. go goes
went 		Verb 9 -2.28 5.53 3 0.4 5 16,404,294 3.31
9. make made
make
makes 		Verb 5 -4.32 3.09 6.48 0.56 5 23,782,133 2.29
10. would would Verb 7 -5.09 4.07 9.07 0.38 4 20,632,337 2.63
11. can Ca
can 		Verb 5 -5.97 2.77 9.91 0.48 4 20,927,647 2.6
12. have 've
had
has
have 		Verb 31 -10.43 8.39 42.22 0.64 14 4,923,033 11.04
13. do did
do
does 		Verb 6 -12.8 2.53 27.5 0.53 5 21,616,464 2.51
14. be 's
are
be
been
is
was
were 		Verb 72 -25.4 10.34 241.99 0.75 26 3,694,668 14.71
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