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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 'm
're
's
am
are
be
been
is
was
were
Verb 91 -26.52 11.1 278.76 0.85 50 1,451,535 37.45
2. have 've
had
has
have
Verb 15 -23.65 4.98 87.74 0.74 14 9,089,614 5.98
3. get Get
gets
got
Verb 5 -5.74 2.81 9.4 0.4 3 24,203,037 2.25
4. do did
do
does
Verb 20 -5.52 7.48 14.25 0.79 19 5,235,163 10.38
5. would 'd
would
Verb 11 -4.06 5.76 7.6 0.71 11 6,891,622 7.89
6. go go
went
Verb 8 -3.87 4.76 6.44 0.66 8 9,623,145 5.65
7. could could Verb 5 -3.76 3.22 5.34 0.56 5 27,015,888 2.01
8. will will
wo
Verb 10 -3.71 5.52 6.47 0.61 8 9,085,859 5.98
9. can ca
can
Verb 18 -0.93 8.05 0.72 0.73 15 6,027,671 9.02
10. must must Verb 5 -0.38 4.42 0.13 0.56 5 17,145,574 3.17
11. say said
say
says
Verb 33 1.13 10.4 1.62 0.44 15 5,737,452 9.47
12. figure Figure Verb 7 2.6 11.58 423.57 -0.01 1 54,349,020 1
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