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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. return return
returned
returning
returns 		Verb 13 2.69 9.38 28.73 0.72 12 6,399,360 8.49
2. celebrate celebrated
celebrating 		Verb 6 2.24 8.69 57.33 0.6 6 11,467,337 4.74
3. triumph triumph Verb 5 2.21 11.28 487.1 -0.01 1 54,332,953 1
4. proclaim proclaim
proclaiming 		Verb 5 2.16 9.47 131.95 0.56 5 13,886,840 3.91
5. follow follow
followed
following
follows 		Verb 14 1.93 8.66 7.66 0.68 11 9,390,652 5.79
6. ride ridden
ride
riding
rode 		Verb 5 1.9 7.37 23.91 0.56 5 22,648,945 2.4
7. represent represented
represents 		Verb 7 1.76 7.2 9.35 0.53 5 16,393,165 3.32
8. smile smiled
smiling 		Verb 5 1.54 6.33 7.66 0.56 5 16,421,492 3.31
9. end end
ended 		Verb 5 1.32 5.93 4.22 0.56 5 16,057,607 3.39
10. come came
come
comes
coming 		Verb 10 -3.77 5.51 6.56 0.61 8 14,040,215 3.87
11. see saw
see
seeing
sees 		Verb 11 -5.14 5.57 10.52 0.68 10 14,980,563 3.63
12. make made
make
makes
making 		Verb 6 -10.52 2.77 21.26 0.53 5 13,312,132 4.08
13. will will Verb 6 -13.61 2.46 28.86 0.53 5 20,830,270 2.61
14. say said
say
saying 		Verb 6 -17.15 2.17 37.73 0.53 5 18,139,670 3
15. would would Verb 5 -17.58 1.5 35.72 0.56 5 14,126,899 3.85
16. be 's
are
be
been
is
was
were 		Verb 193 -30.92 13.5 444.02 0.9 72 1,054,867 51.53
17. have 've
had
has
have 		Verb 27 -31.93 6.67 159.07 0.8 23 3,502,113 15.52
18. do did
do 		Verb 5 -33.93 0.63 74.4 0.48 4 21,012,340 2.59
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