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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. submit submit
submitted
submitting 		Verb 21 4.53 15.36 1,955.5 0.74 16 5,174,920 10.5
2. invite invite
invited
invites 		Verb 20 4.39 14.45 1,080.27 0.74 16 5,014,520 10.84
3. accept accept
accepted
accepting 		Verb 8 2.42 8.8 41 0.61 7 12,696,387 4.28
4. seek seek
seeking
SEEKS
sought 		Verb 6 2.06 7.81 26.38 0.6 6 12,135,778 4.48
5. expect expect
expected 		Verb 5 1.51 6.26 7.01 0.56 5 14,091,860 3.86
6. will will Verb 22 1.48 9.47 3.27 0.69 14 12,460,560 4.36
7. must must Verb 6 0.79 5.73 0.94 0.6 6 10,340,377 5.26
8. should should Verb 7 0.25 5.76 0.07 0.53 5 17,997,768 3.02
9. may may Verb 6 -0.22 5.05 0.05 0.48 4 28,269,955 1.92
10. make made
make
makes
making 		Verb 6 -2.51 4.15 3.17 0.6 6 13,349,876 4.07
11. can can Verb 8 -2.55 5.07 3.49 0.66 8 14,863,127 3.66
12. would would Verb 6 -4.47 3.67 7.25 0.53 5 18,590,220 2.92
13. have had
has
have
having 		Verb 37 -6.06 9.42 20.49 0.82 28 3,465,190 15.69
14. be are
be
been
being
is
was
were 		Verb 138 -8.54 13.43 63.26 0.81 51 1,455,799 37.34
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