Perspectives,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 21
Published: Nov. 13, 2024
Texts
are
translated
to
be
read
and
provide
access
otherwise
inaccessible
information
or
experiences.
Scant
empirical
interest
in
how
translations
received
by
readers
is
surprising
the
context
of
our
knowledge
about
features
translations,
systematic
ways
which
they
differ
from
originally
written
texts.
In
this
paper,
we
explore
impact
translation
quality
on
reading
experience
analysing
cognitive
effort
involved
text
comprehension.
Two
groups
participants
(n
=
64)
were
eye-tracked
as
either
a
low-quality
(with
errors)
high-quality
(without
same
source
text.
Overall,
errors
contributed
longer
dwell
time
when
entire
but
did
not
significantly
affect
participants'
comprehension
scores.
A
more
in-depth
analysis
shows
that
it
depends
amount
confusion
cause
reader
building
coherent
model
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(10)
Published: Feb. 29, 2024
During
real-time
language
comprehension,
our
minds
rapidly
decode
complex
meanings
from
sequences
of
words.
The
difficulty
doing
so
is
known
to
be
related
words’
contextual
predictability,
but
what
cognitive
processes
do
these
predictability
effects
reflect?
In
one
view,
reflect
facilitation
due
anticipatory
processing
words
that
are
predictable
context.
This
view
predicts
a
linear
effect
on
demand.
another
the
costs
probabilistic
inference
over
sentence
interpretations.
either
logarithmic
or
superlogarithmic
demand,
depending
whether
it
assumes
pressures
toward
uniform
distribution
information
time.
empirical
record
currently
mixed.
Here,
we
revisit
this
question
at
scale:
We
analyze
six
reading
datasets,
estimate
next-word
probabilities
with
diverse
statistical
models,
and
model
times
using
recent
advances
in
nonlinear
regression.
Results
support
word
difficulty,
which
favors
as
key
component
human
processing.
During
real-time
language
comprehension,
our
minds
rapidly
decode
complex
meanings
from
sequences
of
words.
The
difficulty
doing
so
is
known
to
be
related
words'
contextual
predictability,
but
what
cognitive
processes
do
these
predictability
effects
reflect?
In
one
view,
reflect
facilitation
due
anticipatory
processing
words
that
are
predictable
context.
This
view
predicts
a
linear
effect
on
demand.
another
the
costs
probabilistic
inference
over
sentence
interpretations.
either
logarithmic
or
superlogarithmic
demand,
depending
whether
it
assumes
pressures
toward
uniform
distribution
information
time.
empirical
record
currently
mixed.
Here
we
revisit
this
question
at
scale:
analyze
six
reading
datasets,
estimate
next-word
probabilities
with
diverse
statistical
models,
and
model
times
using
recent
advances
in
nonlinear
regression.
Results
support
word
difficulty,
which
favors
as
key
component
human
processing.
Open Mind,
Journal Year:
2024,
Volume and Issue:
8, P. 177 - 201
Published: Jan. 1, 2024
Abstract
Many
studies
of
human
language
processing
have
shown
that
readers
slow
down
at
less
frequent
or
predictable
words,
but
there
is
debate
about
whether
frequency
and
predictability
effects
reflect
separable
cognitive
phenomena:
are
operations
retrieve
words
from
the
mental
lexicon
based
on
sensory
cues
distinct
those
predict
upcoming
context?
Previous
evidence
for
a
frequency-predictability
dissociation
mostly
small
samples
(both
estimating
testing
their
behavior),
artificial
materials
(e.g.,
isolated
constructed
sentences),
implausible
modeling
assumptions
(discrete-time
dynamics,
linearity,
additivity,
constant
variance,
invariance
over
time),
which
raises
question:
do
dissociate
in
ordinary
comprehension,
such
as
story
reading?
This
study
leverages
recent
progress
open
data
computational
to
address
this
question
scale.
A
large
collection
naturalistic
reading
(six
datasets,
>2.2
M
datapoints)
analyzed
using
nonlinear
continuous-time
regression,
estimated
statistical
models
trained
more
than
currently
typical
psycholinguistics.
Despite
use
data,
strong
estimates,
flexible
regression
models,
results
converge
with
earlier
experimental
supporting
dissociable
additive
effects.
Behavior Research Methods,
Journal Year:
2025,
Volume and Issue:
57(2)
Published: Jan. 17, 2025
We
introduce
a
sentence
corpus
with
eye-movement
data
in
traditional
Chinese
(TC),
based
on
the
original
Beijing
Sentence
Corpus
(BSC)
simplified
(SC).
The
most
noticeable
difference
between
TC
and
SC
character
sets
is
their
visual
complexity.
There
are
reaction
time
corpora
isolated
character/word
lexical
decision
naming
tasks.
However,
up
to
now
natural
reading
recorded
eye
movements
has
not
been
available
for
general
public.
report
effects
of
word
frequency,
complexity,
predictability
fixation
location
duration
60
native
readers.
In
addition,
because
current
BSC-II
sentences
nearly
identical
BSC
sentences,
we
similarities
differences
linguistic
influences
two
varieties
written
Chinese.
results
shed
light
how
complexity
affects
movements.
Together,
comprise
useful
tool
establish
cross-script
SC.
Scientific Data,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: March 25, 2025
This
paper
introduces
an
eye-tracking
corpus
of
passage
reading
data
in
the
vertical
writing
system
traditional
Mongolian.
extends
Multilingual
Eye
Movement
Corpus
(MECO)
database
and
includes
from
66
native
readers
Mongolian
script
12
texts
comprising
99
sentences
2,592
words.
MECO
aims
to
address
research
gap
studies
on
understudied
languages.
As
one
very
few
actively
used
systems,
these
offer
unique
insights
into
cognitive
visual
processing
demands
reading.
The
provides
reliability
estimates
for
reports
lexical
benchmark
effects
word
frequency
length.
Additionally,
a
valuable
opportunity
cross-linguistic
comparisons
eye
movement
data,
especially
with
horizontal
contributing
better
understanding
how
direction
influences
processing.
