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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
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
am
are
be
been
being
is
was
were
Verb 67 -19.27 10.39 165.78 0.77 29 5,655,410 9.61
2. have 've
had
has
have
Verb 18 -12.17 6.39 42.67 0.61 11 23,406,496 2.32
3. do did Verb 5 -10.82 2.1 20.95 0.56 5 21,093,666 2.58
4. would would Verb 5 -4.91 2.97 7.74 0.48 4 25,456,947 2.14
5. see saw
see
Verb 5 -2.29 3.63 2.63 0.48 4 23,412,472 2.32
6. take take
took
Verb 6 -1.43 4.51 1.3 0.43 4 15,766,415 3.45
7. get get
getting
got
Verb 9 -0.88 5.97 0.61 0.61 7 15,907,846 3.42
8. give gave
given
gives
Verb 6 -0.34 4.98 0.11 0.6 6 16,556,187 3.28
9. say said
say
saying
Verb 17 -0.08 8.15 0.01 0.58 9 7,716,004 7.05
10. call called Verb 7 1.58 6.92 6.18 0.58 6 12,594,093 4.32
11. replace replaced
replacing
Verb 6 2.21 8.5 48.95 0.29 3 28,571,758 1.9
12. winning winning Verb 5 2.23 13.29 1,995.18 0.56 5 12,832,362 4.24
13. win win
winning
wins
won
Verb 41 6.2 15.72 1,238.27 0.76 19 5,075,445 10.71
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