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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. snap snapped Verb 5 2.18 9.95 187.32 -0.01 1 54,350,146 1
2. marry married
Marry
marrying 		Verb 5 2.07 8.37 56.77 -0.01 1 54,333,823 1
3. turn turned
turning 		Verb 6 1.54 6.6 6.43 0.29 3 23,524,592 2.31
4. say said
says 		Verb 22 1.26 9.37 2.22 0.58 10 10,206,182 5.33
5. tell tell
told 		Verb 7 1.24 6.53 2.9 0.49 5 24,044,179 2.26
6. ask ask
asked 		Verb 5 0.92 5.41 1.46 0.48 4 20,703,036 2.63
7. look looked
looking 		Verb 8 0.87 6.53 1.11 0.23 3 32,930,902 1.65
8. take take
taking
took 		Verb 9 0.06 6.37 0 -0.01 1 54,323,910 1
9. could could Verb 7 -0.43 5.4 0.16 0.23 2 31,583,951 1.72
10. think think
thinking
thought 		Verb 6 -0.53 4.89 0.23 0.29 3 34,208,176 1.59
11. know knew
know
knowing
known 		Verb 7 -0.78 5.24 0.47 0.45 4 16,395,380 3.32
12. make made
make 		Verb 7 -1.38 5.01 1.27 0.13 2 53,147,394 1.02
13. would 'd
would 		Verb 6 -3.61 3.86 5.41 0.15 2 41,734,911 1.3
14. do did
do
does
done 		Verb 7 -7.6 3.66 15.59 0.53 5 16,025,041 3.39
15. have 've
had
has
have 		Verb 24 -8.3 7.74 28.52 0.61 12 7,999,557 6.8
16. be 'm
're
's
are
be
been
being
is
was
were 		Verb 69 -16.82 10.62 140.13 0.45 16 7,503,235 7.24
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