合并分支 'caorunzhe' 到 'master'

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Book/Chapter7/Figures/figure-construction-steps-of-MT-system.tex

@@ -21,8 +21,8 @@
 {\footnotesize
 {\footnotesize
 \node [anchor=west] (n11) at ([xshift=-13em,yshift=2em]n1.west) {对训练和测试数据进行};
 \node [anchor=west] (n11) at ([xshift=-13em,yshift=2em]n1.west) {对训练和测试数据进行};
 \node [anchor=west] (n12) at ([xshift=0em,yshift=-1.5em]n11.west) {处理，包括：数据清洗、};
 \node [anchor=west] (n12) at ([xshift=0em,yshift=-1.5em]n11.west) {处理，包括：数据清洗、};
-\node [anchor=west] (n13) at ([xshift=0em,yshift=-1.5em]n12.west) {翻译单元（字词）切分、};
-\node [anchor=west] (n14) at ([xshift=0em,yshift=-1.5em]n13.west) {译文后处理等};
+\node [anchor=west] (n13) at ([xshift=0em,yshift=-1.5em]n12.west) {子词切分、译文后处理};
+\node [anchor=west] (n14) at ([xshift=0em,yshift=-1.5em]n13.west) {等};
 
 
 
 
 \node [anchor=west] (n31) at ([xshift=2em,yshift=0em]n3.north east) {神经网络模型设计，包括};
 \node [anchor=west] (n31) at ([xshift=2em,yshift=0em]n3.north east) {神经网络模型设计，包括};

Book/Chapter7/Figures/figure-mt-data-processing-flow.tex

 
 
 \begin{tikzpicture}
 \begin{tikzpicture}
 	\tikzstyle{op} =[rounded corners=1pt,thick,minimum width=4.0em,minimum height=3.0em,draw,fill=red!5!white,font=\scriptsize]
 	\tikzstyle{op} =[rounded corners=1pt,thick,minimum width=4.0em,minimum height=3.0em,draw,fill=red!5!white,font=\scriptsize]
-	\tikzstyle{data} = [cylinder,draw=black,thick,minimum height=3em,minimum width=3em,shape border rotate=0,cylinder uses custom fill, cylinder body fill=blue!10,cylinder end fill=blue!5,anchor = east,font=\scriptsize]
+	\tikzstyle{data} = [cylinder,draw=black,thick,minimum height=2.5em,minimum width=3em,shape border rotate=0,cylinder uses custom fill, cylinder body fill=blue!10,cylinder end fill=blue!5,anchor = east,font=\scriptsize]
 	\node[op] (node1) at (0,0) {分词};
 	\node[op] (node1) at (0,0) {分词};
 	\node[op,anchor = west] (node2) at ([xshift = 2.0em]node1.east) {符号标准化};
 	\node[op,anchor = west] (node2) at ([xshift = 2.0em]node1.east) {符号标准化};
 	\node[op,anchor = west] (node3) at ([xshift = 2.0em]node2.east) {数据过滤};
 	\node[op,anchor = west] (node3) at ([xshift = 2.0em]node2.east) {数据过滤};
+	\node[op,anchor = west] (node4) at ([xshift = 2.0em]node3.east) {子词切分};
 	\node [data,anchor = east] (data1) at ([xshift = -2.0em]node1.west){原始数据};
 	\node [data,anchor = east] (data1) at ([xshift = -2.0em]node1.west){原始数据};
-	\node [data,anchor = west] (data2) at ([xshift = 2.0em]node3.east){训练数据};
+	\node [data,anchor = west] (data2) at ([xshift = 2.0em]node4.east){训练数据};
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]data1.east) -- ([xshift=-0.25em]node1.west);
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]data1.east) -- ([xshift=-0.25em]node1.west);
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node1.east) -- ([xshift=-0.25em]node2.west);
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node1.east) -- ([xshift=-0.25em]node2.west);
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node2.east) -- ([xshift=-0.25em]node3.west);
 	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node2.east) -- ([xshift=-0.25em]node3.west);
-	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node3.east) -- ([xshift=-0.25em]data2.west);
+	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node3.east) -- ([xshift=-0.25em]node4.west);
+	\draw[-stealth,line width=.05cm] ([xshift=0.25em]node4.east) -- ([xshift=-0.25em]data2.west);
 \end{tikzpicture}
 \end{tikzpicture}
\ No newline at end of file