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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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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. set set Verb 16 3.29 10.5 61.31 0.72 13 5,887,469 9.23
2. pour pour
poured
pouring
Verb 10 3.08 11.95 377.21 0.46 6 12,367,910 4.4
3. lay laid
lay
laying
Verb 11 2.97 10.16 83.58 0.59 7 11,422,382 4.76
4. reinforce Reinforced Verb 7 2.57 10.75 231.53 0.49 5 16,921,136 3.21
5. hit hit Verb 5 1.9 7.37 23.9 0.56 5 21,778,996 2.5
6. contain contain
contained
containing
contains
Verb 5 1.66 6.59 10.58 0.48 4 16,500,164 3.29
7. build build
built
Verb 5 1.5 6.25 6.88 0.56 5 22,222,798 2.45
8. make made
make
Verb 21 1.26 9.25 2.21 0.77 18 5,298,993 10.26
9. put put
puts
Verb 5 0.03 4.66 0 0.48 4 41,307,154 1.32
10. use use
used
using
Verb 5 -1.7 3.83 1.66 0.48 4 16,450,100 3.3
11. get get
getting
got
Verb 8 -2.65 5.05 3.69 0.66 8 10,836,157 5.02
12. will will Verb 7 -4.49 4.18 7.64 0.58 6 13,097,793 4.15
13. can can Verb 6 -5.33 3.5 9.14 0.53 5 18,085,541 3.01
14. would would Verb 5 -7.27 2.56 12.74 0.56 5 16,334,141 3.33
15. do did
do
does
doing
done
Verb 9 -9.94 4.23 23.94 0.64 8 16,421,953 3.31
16. have 've
had
has
have
having
Verb 26 -13.06 7.57 53.39 0.76 18 6,183,124 8.79
17. be 're
's
am
are
be
been
being
is
was
were
Verb 78 -25 10.63 244.43 0.83 42 1,616,285 33.63
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