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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. say said
say
saying
says 		Verb 44 3.82 12.16 35.44 0.66 15 4,506,086 12.06
2. nod nodded Verb 6 2.32 9.43 103.18 0.29 2 43,672,495 1.24
3. point point
pointed 		Verb 5 1.88 7.29 22.14 0.17 2 44,026,556 1.23
4. tell telling
told 		Verb 10 1.8 7.86 7.55 0.56 6 15,938,429 3.41
5. ask ask
asked
asking
asks 		Verb 7 1.36 6.66 3.84 0.58 6 14,155,156 3.84
6. find find
found 		Verb 5 -0.28 4.47 0.07 0.34 3 34,652,024 1.57
7. take Take
taken
taking
took 		Verb 8 -0.78 5.65 0.49 0.61 7 11,231,749 4.84
8. come came
come 		Verb 6 -1.02 4.67 0.75 0.48 4 20,602,410 2.64
9. make made
making 		Verb 6 -2.58 4.13 3.31 0.53 5 17,942,191 3.03
10. will will Verb 6 -3.78 3.82 5.75 0.43 4 19,169,818 2.84
11. have had
has
have 		Verb 34 -7.01 9.04 24.87 0.7 16 6,221,042 8.74
12. do did
do
does 		Verb 7 -9.22 3.45 19.8 0.58 6 10,839,341 5.02
13. be are
be
been
is
was
were 		Verb 59 -23.78 9.73 206.79 0.75 23 4,223,961 12.87
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