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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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TTEST
MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. wear wear
wearing
wears
wore
Verb 17 3.7 11.44 131.66 0.72 13 5,457,037 9.96
2. train train
trained
training
Verb 7 2.37 8.89 54.56 0.38 4 20,019,857 2.72
3. win win
Winning
won
Verb 8 1.66 7.27 6.63 0.54 5 23,189,111 2.34
4. add added
adding
Verb 7 1.21 6.49 2.68 0.53 5 25,514,076 2.13
5. run run
runs
Verb 6 0.19 5.28 0.04 0.53 5 16,574,072 3.28
6. need need
needed
needs
Verb 7 -0.81 5.23 0.5 0.63 7 10,468,993 5.19
7. provide provide
provides
Verb 5 -0.95 4.13 0.64 0.56 5 17,847,189 3.05
8. must must Verb 7 -1.11 5.11 0.87 0.63 7 15,498,287 3.51
9. say said
say
says
Verb 37 -1.32 10.14 1.46 0.66 19 6,294,739 8.64
10. put put
puts
Verb 6 -1.48 4.49 1.37 0.6 6 14,544,506 3.74
11. want want
wanted
wants
Verb 8 -1.57 5.36 1.59 0.57 6 14,255,849 3.81
12. become became
become
Verb 5 -1.96 3.73 2.06 0.56 5 14,239,682 3.82
13. give gave
GIVE
given
gives
giving
Verb 11 -2.04 6.23 2.61 0.64 9 10,539,441 5.16
14. tell Tell
telling
told
Verb 5 -2.42 3.59 2.83 0.48 4 15,954,199 3.41
15. use use
used
Verb 8 -3.25 4.9 4.97 0.61 7 10,670,446 5.09
16. will will
wo
Verb 21 -3.46 7.97 6.98 0.73 15 5,994,837 9.07
17. come came
Come
comes
coming
Verb 8 -4.44 4.64 7.76 0.66 8 12,811,820 4.24
18. take take
taken
takes
taking
took
Verb 10 -4.64 5.34 8.84 0.66 9 13,970,024 3.89
19. should should Verb 5 -4.7 3.01 7.18 0.56 5 20,419,658 2.66
20. know knew
know
known
Verb 10 -4.85 5.3 9.41 0.66 9 14,950,101 3.64
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