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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
been
being
is
was
were 		Verb 74 -25.86 10.42 250.1 0.8 35 2,303,738 23.6
2. do did
do
done 		Verb 5 -14.99 1.7 30.48 0.56 5 30,446,861 1.79
3. have had
has
have
having 		Verb 40 -8.2 9.44 32.64 0.8 27 3,564,930 15.25
4. will will Verb 6 -5.2 3.53 8.84 0.6 6 14,695,929 3.7
5. would would Verb 8 -4.63 4.6 8.33 0.66 8 13,532,609 4.02
6. see saw
see
seen
sees 		Verb 5 -3.74 3.23 5.31 0.48 4 39,266,150 1.38
7. say said
say
saying
says 		Verb 12 -3.14 6.24 5.3 0.66 9 9,902,773 5.49
8. make made
make
makes
making 		Verb 7 -3.07 4.5 4.44 0.63 7 11,730,552 4.63
9. come came
come
coming 		Verb 5 -2.43 3.58 2.87 0.48 4 24,295,286 2.24
10. know knew
know
known 		Verb 8 -1.72 5.31 1.87 0.66 8 10,451,128 5.2
11. find find
found 		Verb 5 -0.86 4.18 0.53 0.56 5 31,383,300 1.73
12. change change
changed 		Verb 5 1.38 6.03 5 0.48 4 23,339,126 2.33
13. base based Verb 5 1.62 6.5 9.47 0.48 4 18,507,894 2.94
14. claim claim
claiming
claims 		Verb 5 1.64 6.54 9.96 0.4 3 22,190,296 2.45
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