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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
are
be
been
is
was
were
Verb 52 -13.39 9.89 94.03 0.71 25 3,987,116 13.63
2. have 've
had
has
have
Verb 15 -8.01 6.2 23.32 0.59 9 19,791,512 2.75
3. do did
do
does
Verb 12 -2.11 6.48 2.89 0.58 7 15,979,924 3.4
4. go goes
gone
went
Verb 5 -1.42 3.93 1.26 0.48 4 38,998,061 1.39
5. will will Verb 6 -1.38 4.52 1.25 0.53 5 14,579,556 3.73
6. get gets
getting
got
Verb 8 0.1 6.05 0.01 0.34 4 33,417,680 1.63
7. come came
comes
Verb 6 0.31 5.37 0.11 0.6 6 13,259,008 4.1
8. tell telling
told
Verb 6 1.37 6.35 4.26 0.29 3 38,596,948 1.41
9. 's 's Verb 5 1.6 6.47 9.13 0.34 3 33,057,303 1.64
10. fajr Fajr Verb 7 2.65 20.37 193,568.57 -0.01 1 54,357,995 1
11. say said
say
says
Verb 33 3.75 11.61 41.57 0.53 13 6,948,602 7.82
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