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

Opening Keynote (Firebase Summit 2018)
觀看次數：113
myself
and
I
developed
tcp
congestion
ecosystem
of
android
and
which
is
now
amazing
innovations
continues
to
grow
based
user
segmentation
service
then
extensibility
this
means
easy
data
portability
through
integrations
with
of
you
to
customize
firebase
to
meet
sophistication
are
the
some
of
the
areas
we'll
be
focusing
next
year
but
first
quality
streaming
video
with
movies
firebase
remote
config
to
roll
it
in
new
features
with
emoji
and
gamification
and
they
also
used
firebase
crashlytics
devices
so
instead
of
banning
the
analytics
or
firebase
to
segment
out
the
low-end
devices
and
to
turn
off
the
publishing
a
new
version
of
their
app
over
38%
enterprises
is
that
firebase
has
not
the
cloud
team
is
currently
ramping
up
and
you
need
extensibility
to
ensure
progress
on
certifications
like
sark
and
initiated
data
export
and
deletion
and
we've
published
guides
on
best
practices
regions
for
firestorm
Frankfurt
is
now
across
bigquery
now
we've
always
had
analytics
exports
since
the
beginning
ability
to
export
your
crashlytics
data
firebase
predictions
fcm
and
a
be
data
once
it's
been
exported
to
bigquery
you
have
an
e-commerce
app
and
you're
so
my
user
data
lives
here
in
firestorm
exports
to
load
my
data
into
bigquery
firebase
project
directly
to
bigquery
doing
this
will
automatically
export
whether
that
users
predicted
to
churn
predictions
in
bigquery
I
can
join
these
predicted
to
churn
if
i've
run
the
query
also
exported
my
crashlytics
data
you
extensibility
is
about
more
than
just
the
ability
to
customize
firebase
we
ios
sdks
at
last
year's
i/o
the
open-source
our
first
set
of
android
sdks
firestore
functions
storage
and
the
have
starred
the
repo
so
far
and
we've
we've
open
sourced
the
firebase
in-app
allowing
you
to
customize
typeface
colors
transitions
corner
radii
and
more
bindings
for
firebase
we
were
so
contributors
to
our
open
source
we're
building
firebase
together
it's
enhancements
to
firebase
so
the
platform
tough
challenge
from
user
segmentation
experimentation
we
can't
afford
to
let
our
decisions
that's
why
with
firebase
or
firebase
helps
and
user
segmentation
reports
and
create
a
personalized
evaluations
let's
take
a
closer
look
are
close
to
making
an
in-app
purchase
that
I
instrumented
the
app
so
that
the
an
in-app
purchase
and
I
do
that
by
select
event
and
mina
purchase
and
in-app
purchase
within
the
last
two
event
in-app
purchase
and
down
here
for
the
user
in
the
app
so
if
you're
as
to
the
slides
predicted
behavior
like
user
churn
or
based
predictions
this
applies
google's
expertise
and
launched
firebase
predictions
into
beta
we've
made
is
jumana
to
firebase
you
can
get
predictions
for
firebase
handles
all
the
machine
come
to
your
predictions
homepage
you
just
see
ready
to
use
predictive
user
many
false
positives
is
it
committing
so
positives
much
like
dynamic
audiences
firebase
platform
let's
go
have
a
look
predictions
has
now
been
integrated
into
histogram
of
this
we've
made
to
predictions
and
I
look
once
you've
defined
a
user
segment
purchase
flow
firebase
offers
three
firebase
Cloud
messaging
in-app
messaging
and
remote
config
first
let's
talk
about
firebase
Cloud
messaging
fcm
onboarding
flow
then
you
have
to
rerun
announce
that
we're
improving
fcm
so
that
it
accommodates
long
running
your
onboarding
flow
an
fcm
will
automatically
trigger
when
a
new
user
receive
it
once
so
i'm
being
intentional
we
have
firebase
in-app
messaging
in-app
messaging
or
as
we
call
it
phi
M
is
one
have
a
thriving
ecommerce
app
that
sells
metrics
for
the
last
30
days
but
let's
campaigns
off
phi
M
provides
three
out-of-the-box
templates
modal
image
and
you
complete
customizability
this
user
actions
these
contextual
triggers
use
Google
analytics
for
firebase
events
new
they're
evaluated
client-side
so
so
far
we've
talked
about
segmenting
cloud
messaging
and
in-app
messaging
now
and
run
rigorous
experiments
firebase
e-commerce
pet
supplies
app
we
currently
to
be
instrumented
in
your
app
before
is
active
and
that
we're
collecting
data
criteria
is
automatically
applied
to
your
new
remote
config
and
that's
what's
experimentation
process
Google
analytics
and
predictions
helps
you
with
while
cloud
messaging
in-app
messaging
and
remote
config
allow
growth
experimentation
will
be
enough
if
crashlytics
we've
been
working
hard
to
espresso
and
ui
automator
tests
are
run
for
android
now
xc
tests
can
be
run
for
ios
on
reo
ios
devided
devices
added
to
announce
that
we're
graduating
test
lab
availability
however
even
the
most
firebase
performance
monitoring
helps
e-commerce
app
and
the
median
duration
is
low
but
there's
some
traces
that
are
the
ui
in
the
app
that's
why
we've
added
the
derrick
later
today
appropriately
titled
how
can
bringing
fabrics
crashlytics
into
into
general
availability
as
we've
we've
integrated
crashlytics
with
flack
and
jira
starting
today
you'll
be
able
to
link
crashlytics
with
pager
duty
crash
velocity
alerts
now
when
such
an
in
crashlytics
sorry
in
pager
duty
and
your
grass
oolitic
data
once
you've
exported
it
to
bigquery
now
as
an
example
it's
easy
for
my
teammates
who
my
data
I
can
customize
this
template
to
teammates
and
we
can
collaborate
on
it
apps
with
firebase
and
bigquery
and
now
more
visibility
into
what
we're
building
what's
our
excluse
to
firebase
what's
in
progress
and
what
distribute
pre-release
versions
of
your
app
to
trusted
testers
but
both
android
firebase
today
and
we've
made
the
firebase
if
you're
not
already
a
firebase
user
then
next
is
installing
the
firebase
core
sdk
and
lastly
inviting
your
teammates
to
firebase
so
cannonball
our
open
source
sample
app
our
cannonball
project
and
firebase
so
I
automatically
link
my
apps
to
the
firebase
2
so
i'm
going
to
invite
my
with
firebase
as
well
so
let's
go
over
in
view
firebase
and
what's
so
great
config
and
cloud
messaging
but
for
them
bigquery
integrations
that's
only
soundcloud
we're
excited
to
welcome
all
so
we've
just
shown
how
firebase
helps
cross-platform
manner
we
talked
about
integrations
between
crashlytics
and
functionality
and
crashlytics
as
well
as
what
I
grab
off-the-shelf
are
the
make-or-break
decisions
whether
you're
mature
we're
integrating
our
products
they're
ready
to
use
out-of-the-box
they
provide
functionality
such
as
face
barcode
scanning
image
labeling
landmark
ml
kit
is
extracting
the
text
that
it's
anticipated
feature
since
we
launched
at
functionality
to
build
apps
that
you
set
it
we're
constantly
working
to
add
more
dynamically
serving
those
smalls
to
your
have
to
republish
your
app
to
the
app
our
out-of-the-box
api's
or
you're
more
to
build
your
own
custom
tensorflow
lite
excited
to
extend
our
ml
capabilities
in
powered
api's
now
let's
switch
gears
to
our
new
flagship
no
sequel
database
that
is
fully
managed
in
scales
horizontally
such
as
new
querying
capabilities
new
true
as
your
app
krause
but
we've
got
security
rules
before
deploying
let's
bookmarking
app
built
on
cloud
fire
invite
collaborators
to
add
bookmarks
to
emulator
in
my
packagejson
we
see
that
i've
wired
the
npm
test
directives
to
typescript
integration
tests
using
mocha
standard
firebase
sdks
the
only
rule
and
rerun
the
tests
all
right
it's
with
these
emulators
it's
never
been
functions
you
can
deploy
your
javascript
months
from
stackdriver
to
crashlytics
a
standard
interface
we'll
keep
adding
capabilities
and
functions
work
in
real-time
propagation
for
remote
config
real-time
propagation
for
remote
config
config
by
confiict
combining
google
cloud
functions
and
cloud
messaging
here
feature
but
rollout
is
being
gated
by
a
feature
flag
in
remote
config
i've
also
i've
made
is
i've
already
deployed
this
now
when
i'm
publishing
to
remote
config
ability
to
do
real-time
propagation
of
ways
we're
enabling
you
to
extend
and
Cloud
from
the
firestore
emulator
to
new
syn
ml
kits
we're
committed
to
helping
open
up
access
to
our
server-side
api's
third-party
systems
and
what's
exciting
functions
and
integrated
with
slack
so
step
we're
announcing
the
availability
programmatically
so
with
this
you
can
do
things
like
automate
the
setup
of
new
all-new
firebase
management
API
let's
glitch
to
powerful
web-based
IDs
let's
call
the
firebase
json
glitch
unlocks
deployed
a
firebase
hosting
all
from
within
the
ide
i'll
select
deployed
a
firebase
app
that's
it
with
glitch
and
we're
committed
to
innovating
on
the
deepening
our
integrations
with
Google
and
data
portability
and
we've
got
so

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