"Vector" Parser - Dictionary Lookup
Look up the "vector" class for another word:
Vector class for "today"
word
similarity score
today
1
this morning
0.096
he said
0.07
this afternoon
0.066
here
0.063
this year
0.059
tomorrow
0.059
after breakfast
0.057
in japan
0.056
now
0.055
again
0.055
in the afternoon
0.053
indeed
0.053
i think
0.052
in fact
0.051
yet
0.051
she said
0.051
of course
0.05
perhaps
0.05
mrs
0.05
you know
0.048
in the morning
0.048
alternatively
0.047
last year
0.047
this time
0.046
in DIGIT
0.046
ms
0.045
they said
0.045
tonight
0.045
soon
0.044
in the future
0.043
i know
0.043
later
0.043
however
0.043
in the evening
0.043
thus
0.042
this evening
0.042
in addition
0.042
finally
0.042
yesterday
0.042
after lunch
0.041
therefore
0.04
u
0.04
then
0.039
yes
0.039
isnt it
0.039
the next day
0.039
mr
0.039
afterwards
0.038
though
0.038
for example
0.038
recently
0.038
friday
0.038
at last
0.037
although
0.037
marilla
0.037
oh
0.037
as a result
0.037
so far
0.037
every day
0.036
after all
0.036
at DIGIT
0.036
for me
0.036
lewinsky
0.036
besides
0.035
the u
0.035
approx
0.035
anyway
0.035
moreover
0.035
day DIGIT
0.035
these days
0.035
at all
0.035
sometimes
0.034
at present
0.034
wednesday
0.034
there
0.034
why
0.034
maybe
0.034
b
0.034
too
0.034
the way
0.033
from here
0.033
alone
0.033
DIGIT percent
0.033
anne
0.033
e
0.033
i thought
0.033
one day
0.032
consequently
0.032
thursday
0.032
next year
0.032
at that time
0.032
nevertheless
0.032
in the u
0.031
on arrival
0.031
i suppose
0.031
last week
0.031
nothing
0.031
i believe
0.031
c
0.031
everything
0.031
police said
0.031
april DIGIT
0.031
since DIGIT
0.031
it seems
0.03
monday
0.03
DIGIT million
0.03
the day
0.03
instead
0.03
presently
0.03
unfortunately
0.029
to me
0.029
for you
0.029
history
0.029
i hope
0.029
tuesday
0.029
he added
0.029
japan
0.028
either
0.028
furthermore
0.028
hence
0.028
since
0.028
in general
0.028
otherwise
0.028
you see
0.028
the house
0.028
in particular
0.028
china
0.028
by DIGIT
0.028
this is
0.027
at night
0.027
DIGIT billion
0.027
please
0.027
saturday
0.027
DIGIT km
0.027
once
0.027
what
0.027
at first
0.027
somehow
0.027
together
0.027
today we
0.027
in the world
0.027
others
0.027
additionally
0.027
i guess
0.026
i dont think
0.026
hong kong
0.026
well
0.026
life
0.026
DIGITm
0.026
actually
0.026
meanwhile
0.026
en route
0.026
the city
0.026
since then
0.026
DIGIT per cent
0.026
at once
0.026
whatever
0.026
this was
0.026
the beach
0.026
right
0.026
it said
0.026
accordingly
0.026
next
0.026
certainly
0.026
inside
0.026
bd
0.026
already
0.026
the united states
0.026
below
0.026
myself
0.026
immediately
0.026
afternoon
0.026
the problem
0.025
as well
0.025
back
0.025
DIGITkm
0.025
overnight
0.025
in the past
0.025
in this case
0.025
the system
0.025
she thought
0.025
sept
0.025
nowadays
0.025
with him
0.025
still
0.025
experience
0.025
st
0.025
time
0.024
in contrast
0.024
sunday
0.024
itself
0.024
outside
0.024
altogether
0.024
thats what
0.024
america
0.024
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Copyright © 2002 Robert Freeman