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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
's
are
be
been
being
is
was
were 		Verb 96 -18.12 11.66 172.63 0.79 38 2,368,906 22.95
2. have 've
had
has
have
having 		Verb 31 -9.65 8.46 38.01 0.76 20 5,176,093 10.5
3. get get
Getting
got 		Verb 6 -3.34 3.93 4.81 0.29 3 38,629,517 1.41
4. would 'd
would 		Verb 11 -2.55 6.1 3.77 0.57 8 10,255,601 5.3
5. come came
come
comes
coming 		Verb 5 -2.07 3.7 2.26 0.56 5 16,879,984 3.22
6. use used
using 		Verb 7 -0.4 5.41 0.14 0.53 5 16,824,361 3.23
7. produce produce
producing 		Verb 7 1.89 7.43 12.63 0.35 3 18,436,723 2.95
8. remove remove
removed
removing 		Verb 5 1.9 7.38 23.99 0.48 4 17,816,624 3.05
9. make made
make
makes
making 		Verb 25 2.21 10.13 8.89 0.56 12 8,558,465 6.35
10. clean clean
cleaned
cleans 		Verb 6 2.36 9.88 145.19 0.6 6 24,759,527 2.2
11. fall fall
fallen
falling
falls
fell 		Verb 9 2.42 8.71 30.39 0.68 9 12,782,111 4.25
12. wipe wipe
wiped
wiping 		Verb 12 3.42 13.46 912.27 0.73 12 7,562,016 7.19
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