系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Jason Huggins: Everyone Loves Robots
觀看次數：427
jason
huggins
co-creator
of
the
selenium
project
and
co-founder
cto
sauce
labs
want
to
see
this
3d
animation
but
it's
don't
I
haven't
met
mr
doob
yet
is
he
I
was
prototyping
in
lego
I
have
to
here's
the
clicker
the
linear
actuator
the
co-inventors
richard
jorgensen
he
like
life-size
like
a
rector
set
kind
of
is
meant
to
be
vertically
vertically
of
like
a
glorified
button
clicker
you
know
and
realizing
that's
kind
of
what
selenium
that's
what
testing
really
is
selenium
and
apps
that
I
tested
so
there's
there's
kind
of
the
thing
williams
at
the
johnny-five
and
fermata
struggle
that
I
struggled
with
the
most
that's
kind
of
an
off-the-shelf
really
stumbled
I
stumbled
on
but
now
open-source
lego
I
now
can
do
the
microsoft
as
bit
beam
is
to
lego
my
only
patents
thankfully
most
of
them
all
of
to
drive
firefox
I
want
to
drive
chrome
there's
kind
of
low-level
API
is
yes
photobooth
it's
inverted
to
the
the
there's
three
arms
that's
why
it's
course
it
was
conveyor
belts
of
chocolates
coming
off
the
conveyor
belt
and
they're
trying
to
get
chocolates
you
study
robotics
classes
they've
used
kinematics
and
I
have
an
inverse
kinematics
library
i'll
put
on
github
of
there's
two
things
in
robotic
lands
there's
inverse
kinematics
basically
you
have
to
do
the
inverse
kinematics
is
algorithm
translates
that
to
what
the
see
you
naked
1
120
that's
in
the
z-axis
the
origin
they're
effectively
all
the
cartesian
on
a
keynesian
adventure
that's
negative
50
X
and
that's
plus
50
because
of
the
kinematics
the
calculating
forward
it's
a
little
bit
but
so
you
got
inverse
kinematics
count
the
forward
kinematics
and
i'll
just
say
it's
what
15
41
41
that
was
rounding
errors
right
but
you
can
go
let's
course-correct
to
get
to
the
right
opencv
bindings
for
node
and
that's
device
called
prosaically
named
vga
to
to
a
particular
xyz
coordinate
on
the
course-correcting
we
can
then
start
there's
lots
of
things
there's
lots
of
anyway
so
the
inverse
kinematics
and
all
couldn't
even
I
couldn't
survive
the
functions
I
now
I
now
get
it
but
don't
it's
just
geometry
and
and
thankfully
uh
grab
people's
algorithms
and
run
them
see
it
it's
johnny
5
stuff
johnny
5
their
arduino
in
the
in
a
prototyping
board
that's
like
30
or
40
the
servos
stylus
I
overpaid
and
got
it
at
Best
Buy
granted
it's
it's
for
sale
but
I
don't
need
a
conveyor
belts
and
any
more
bit
documented
like
a
whole
flickr
set
epilogue
laser
cutter
you
can
kind
of
these
things
I
uploaded
the
the
2d
dxf
being
on
thingiverse
someone
uploaded
printable
and
so
this
was
this
is
abs
wherever
the
arduino
and
the
servos
to
you
for
a
ridiculously
high
price

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