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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:
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TTEST
MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. 's 's Verb 14 2.88 9.74 36.4 0.38 3 51,421,067 1.06
2. support support
supports
Verb 9 2.49 8.9 36.76 0.29 3 49,762,483 1.09
3. claim claimed
claiming
claims
Verb 6 1.83 7.14 13.09 0.25 2 52,324,104 1.04
4. announce announced
announces
Verb 5 1.78 6.93 15.36 0.56 5 21,216,094 2.56
5. add add
added
adding
adds
Verb 6 1.55 6.62 6.56 0.25 2 51,488,557 1.06
6. base based Verb 5 1.53 6.31 7.47 0.34 3 52,159,492 1.04
7. run running
runs
Verb 5 0.8 5.29 1.01 0.4 3 50,012,066 1.09
8. will will Verb 21 -0.07 8.76 0 0.35 4 35,787,992 1.52
9. say say
says
Verb 21 -1.09 8.48 0.99 0.31 3 49,831,013 1.09
10. have had
has
have
Having
Verb 73 -3.69 11.86 10.6 0.36 6 23,648,292 2.3
11. see see
seen
sees
Verb 5 -4.56 3.04 6.95 0.4 3 37,575,991 1.45
12. make made Verb 6 -4.58 3.65 7.43 0.29 2 51,519,297 1.06
13. do did
do
does
doing
done
Verb 5 -17.36 1.51 35.95 0.17 2 52,292,038 1.04
14. be 's
are
be
been
being
is
was
were
Verb 95 -24.87 11.31 260.84 0.4 11 14,556,097 3.73
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