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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
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. reach reach
reached
reaches
Verb 33 5.06 13.17 217.01 0.82 28 3,288,771 16.53
2. approach approach
approached
approaches
approaching
Verb 7 2.2 8.19 28.79 0.58 6 13,521,294 4.02
3. leave leave
leaving
left
Verb 20 2.11 9.57 8.51 0.77 18 5,195,128 10.46
4. base based Verb 10 2.1 8.22 13.27 0.35 4 21,061,930 2.58
5. follow follow
followed
following
follows
Verb 11 0.96 7.41 1.29 0.57 6 17,739,333 3.06
6. bring bring
brings
brought
Verb 5 -1.07 4.08 0.78 0.4 3 23,893,672 2.28
7. find find
finding
Verb 5 -5.24 2.9 8.27 0.56 5 16,528,291 3.29
8. see saw
see
Verb 9 -7.76 4.5 17.05 0.64 8 11,337,158 4.79
9. go go
goes
going
went
Verb 10 -9.32 4.66 22.41 0.66 9 9,384,894 5.79
10. take take
took
Verb 5 -11.31 2.05 21.41 0.56 5 12,453,793 4.36
11. make made
make
makes
Verb 6 -12.48 2.56 25.99 0.6 6 14,596,529 3.72
12. will will Verb 8 -13.18 3.5 31.35 0.66 8 9,895,330 5.49
13. say said
saying
Verb 8 -16.71 3.21 41.49 0.61 7 12,971,898 4.19
14. can can Verb 5 -18.21 1.45 37.05 0.56 5 14,678,768 3.7
15. have had
has
have
Verb 22 -42.65 5.58 200.94 0.78 19 5,002,726 10.87
16. be are
be
been
being
is
was
were
Verb 100 -61.66 10.45 794.88 0.85 52 1,508,085 36.05
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