Word list
Corpus: ACL-RD TEC 2.0 --- Annotations by Behrang QasemiZadehlemma | Freq |
---|---|
the | 1,150 |
of | 831 |
a | 794 |
be | 567 |
and | 472 |
to | 432 |
in | 401 |
we | 349 |
for | 260 |
that | 228 |
this | 217 |
use | 186 |
system | 181 |
on | 174 |
model | 144 |
language | 126 |
with | 125 |
paper | 117 |
as | 115 |
word | 112 |
by | 111 |
method | 110 |
translation | 109 |
which | 108 |
from | 107 |
can | 95 |
have | 92 |
it | 84 |
approach | 82 |
present | 77 |
result | 76 |
show | 75 |
sentence | 72 |
corpus | 71 |
describe | 68 |
machine | 63 |
or | 58 |
they | 58 |
algorithm | 57 |
propose | 56 |
text | 56 |
structure | 54 |
new | 52 |
feature | 52 |
information | 52 |
base | 51 |
natural | 49 |
these | 49 |
also | 49 |
performance | 47 |
evaluation | 45 |
user | 44 |
task | 43 |
set | 43 |
grammar | 43 |
such | 43 |
two | 41 |
not | 40 |
datum | 40 |
statistical | 38 |
problem | 38 |
experiment | 37 |
evaluate | 36 |
provide | 34 |
how | 34 |
error | 33 |
more | 33 |
one | 33 |
discourse | 32 |
training | 32 |
application | 32 |
technique | 32 |
between | 30 |
work | 30 |
speech | 30 |
into | 29 |
at | 29 |
make | 29 |
dialogue | 29 |
phrase | 28 |
accuracy | 28 |
recognition | 28 |
parsing | 28 |
output | 28 |
give | 28 |
analysis | 27 |
both | 27 |
will | 27 |
semantic | 27 |
introduce | 26 |
linguistic | 26 |
lexical | 26 |
other | 26 |
document | 26 |
its | 25 |
each | 25 |
than | 25 |
mt | 25 |
domain | 25 |
human | 25 |