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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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MI3
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. make made
make
makes
making 		Verb 52 5.24 13.28 102.65 0.85 40 2,610,661 20.82
2. hear hear
heard
hearing
Hears 		Verb 25 4.54 12.73 224.7 0.74 18 4,595,441 11.83
3. extract extract
extracted
extracting 		Verb 11 3.28 13.47 1,012.5 0.66 9 9,786,213 5.55
4. obtain obtain
obtained
obtaining 		Verb 12 3.22 10.98 144.89 0.52 7 11,049,851 4.92
5. sign sign
signed 		Verb 8 2.62 9.73 91.02 0.61 7 14,018,130 3.88
6. go go
goes
going
gone
went 		Verb 18 0.64 8.57 0.49 0.72 14 9,323,860 5.83
7. want want
wanted 		Verb 5 -0.41 4.4 0.14 0.56 5 19,056,512 2.85
8. should should Verb 5 -1.07 4.08 0.78 0.48 4 15,981,778 3.4
9. get get
getting
got 		Verb 9 -1.8 5.66 2.07 0.58 7 10,519,360 5.17
10. see see
seeing
sees 		Verb 6 -2.66 4.11 3.44 0.53 5 22,347,676 2.43
11. say said
say
saying
says 		Verb 11 -3.14 5.96 5.21 0.66 9 12,033,932 4.52
12. would 'd
would 		Verb 9 -3.59 5.2 6.01 0.68 9 8,723,932 6.23
13. will will Verb 5 -5.62 2.83 9.17 0.56 5 20,041,425 2.71
14. have had
has
have 		Verb 32 -9.56 8.57 37.89 0.82 26 2,988,437 18.19
15. be 's
are
be
been
being
is
was
were 		Verb 96 -18.56 11.64 178.32 0.82 51 1,683,831 32.28
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