需求概要：
输入一段英文，读取文本文件获取段落中的英文字符，及常见标点，空格以及换行符对段落进行分割
统计英文单词在段落中出现的次数并输出单词出现的次数，并对结果进行排序。
分析：
1.对文本文件进行读取。
2．对文本文件中的英文段落分割为单词，通过map统计单词出现次数，将hashmap的键值对放入到数组中，进行排序，最后进行输出
部分代码如下：
public class WordSearchs {
public static void main(String[] args) {
String string;
String file = null;
bw.newLine();//换行
bw.flush(); //释放资源
} catch (Exception e) {
e.printStackTrace();
}
}
}
}
输出结果：
i=60
the=57
and=38
to=31
you=25
a=23
in=19
said=15
jack=15
me=15
my=15
of=14
s=14
he=13
his=12
it=12
that=12
what=11
we=11
as=10
all=10
mom=10
they=10
through=9
day=9
one=9
rain=9
can=9
was=8
t=8
not=8
but=8
no=7
for=7
get=7
had=7
time=7
she=6
do=6
take=6
run=6
ll=6
were=6
him=6
when=6
this=6
your=6
their=5
at=5
on=5
just=5
left=5
let=5
away=5
way=5
be=5
friends=5
if=5
next=5
after=5
about=5
so=4
stood=4
over=4
up=4
been=4
right=4
every=4
few=4
them=4
there=4
with=4
wrong=4
another=4
young=4
her=4
moment=3
child=3
needed=3
come=3
anything=3
into=3
is=3
off=3
got=3
desk=3
thought=3
other=3
out=3
have=3
prayed=3
by=3
washing=3
door=3
like=3
asked=3
wet=3
make=3
say=3
will=3
see=3
word=3
cancer=3
hope=3
some=3
spring=3
faith=2
ran=2
repeated=2
replied=2
children=2
room=2
first=2
job=2
closed=2
knew=2
know=2
leaving=2
shopping=2
before=2
soaked=2
from=2
corrected=2
god=2
long=2
couldn=2
talk=2
tears=2
man=2
mart=2
great=2
memories=2
then=2
beautiful=2
hand=2
things=2
think=2
morning=2
much=2
must=2
deserve=2
cars=2
treat=2
tried=2
tulips=2
turned=2
turning=2
two=2
under=2
did=2
us=2
ve=2
waited=2
wal=2
want=2
wanted=2
chair=2
don=2
now=2
honey=2
weeks=2
welcome=2
cheek=2
office=2
how=2
down=2
whispered=2
who=2
or=2
episodes=2
without=2
others=2
words=2
would=2
are=2
years=2
inside=2
pouring=2
eyes=2
calmly=1
hospital=1
came=1
hurried=1
hurry=1
hypnotic=1
affirmation=1
appeared=1
ignore=1
image=1
carefree=1
innocence=1
innocent=1
abruptly=1
insult=1
case=1
irritated=1
caught=1
arm=1
jabbed=1
change=1
changed=1
again=1
kind=1
kindness=1
aside=1
knit=1
ask=1
laugh=1
laughed=1
laughing=1
lay=1
leaned=1
circumstances=1
cleared=1
absolutely=1
letters=1
life=1
clouded=1
line=1
clung=1
colors=1
lose=1
lost=1
love=1
loved=1
工程源码地址：https://git.coding.net/handsomeman/wordsearch.git
ssh://git@git.coding.net:handsomeman/wordsearch.git