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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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TTEST
MI3
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. encourage encourage
encouraged
encourages 		Verb 5 1.94 7.58 29.08 0.48 4 26,699,306 2.04
2. create create
creates
creating 		Verb 5 1.67 6.62 10.91 0.56 5 24,023,682 2.26
3. bring bringing
brought 		Verb 5 1.11 5.63 2.45 0.56 5 24,090,504 2.26
4. become become Verb 6 0.84 5.78 1.1 0.53 5 15,256,084 3.56
5. will will Verb 15 -0.11 7.77 0.01 0.63 9 8,983,415 6.05
6. take take
taken
taking
took 		Verb 6 -1.76 4.39 1.84 0.53 5 14,751,443 3.69
7. could could Verb 5 -2.02 3.71 2.18 0.56 5 23,244,585 2.34
8. see see
seeing 		Verb 5 -2.68 3.51 3.33 0.56 5 16,506,013 3.29
9. can can Verb 6 -3.91 3.79 6.02 0.53 5 14,650,369 3.71
10. have had
has
have 		Verb 43 -4.99 10.04 15.74 0.82 30 3,417,943 15.9
11. do did
do
does
doing 		Verb 10 -6.87 4.98 15.56 0.66 9 10,668,839 5.1
12. be 's
are
be
been
being
is
was
were 		Verb 68 -21.38 10.33 190.59 0.85 42 2,382,501 22.82
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