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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
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be be
been
is
was
Verb 22 -23.37 6.34 136.76 -0.01 1 54,328,704 1
2. do did
do
Verb 5 -5.41 2.87 8.95 -0.01 1 54,332,554 1
3. have had
have
Verb 30 -1.97 9.37 3.18 -0.01 1 54,329,819 1
4. see saw
see
Verb 5 -0.42 4.4 0.15 -0.01 1 54,333,670 1
5. know knew
know
Verb 6 0.12 5.24 0.01 -0.01 1 54,354,322 1
6. find found Verb 6 1.2 6.14 2.82 -0.01 1 54,336,364 1
7. look looked
looking
Verb 7 1.33 6.62 3.56 -0.01 1 54,335,134 1
8. tell tell
told
Verb 6 1.49 6.52 5.71 -0.01 1 54,332,535 1
9. say said
say
Verb 19 2.03 9.4 7.92 -0.01 1 54,327,520 1
10. shrug shrugged Verb 5 2.2 10.61 302.8 -0.01 1 54,330,324 1
11. shake shaken
shaking
shook
Verb 6 2.34 9.62 119.78 -0.01 1 54,332,483 1
12. ask asked Verb 9 2.38 8.62 27.75 -0.01 1 54,329,314 1
13. feel feel
felt
Verb 11 2.76 9.49 45.52 -0.01 1 54,329,891 1
14. could could Verb 21 3.46 10.82 49.73 -0.01 1 54,328,582 1
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