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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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TTEST
MI3
CHISQ
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be ARE
be
is
was
were
Verb 36 -11.23 8.82 65.77 0.74 21 4,081,734 13.32
2. have had
has
have
Verb 10 -6.97 4.96 16.89 0.64 8 10,951,914 4.96
3. say say
says
Verb 5 -1.33 3.97 1.14 0.48 4 19,343,001 2.81
4. would would Verb 6 -0.55 4.88 0.26 0.6 6 22,289,638 2.44
5. can can Verb 6 -0.24 5.03 0.05 0.6 6 18,344,838 2.96
6. make make Verb 8 0.96 6.6 1.43 0.54 6 15,940,912 3.41
7. pay pay
paying
Verb 5 1.82 7.05 17.56 0.17 2 47,858,400 1.14
8. give give
given
Verb 10 2.17 8.31 15.06 0.7 10 8,369,965 6.49
9. will will Verb 15 2.19 9.01 11.22 0.64 10 11,873,002 4.58
10. receive receive
received
receiving
Verb 7 2.41 9.13 66.88 0.58 6 11,596,506 4.69
11. get get
GETS
getting
got
Verb 16 2.66 9.58 21.49 0.69 12 6,964,842 7.8
12. claim claim
claimed
claims
Verb 13 3.48 12.2 335.67 0.7 11 7,403,389 7.34
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