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Chapter13/Figures/figure-bpe.tex 0 → 100644
\begin{tikzpicture}
\tikzstyle{node} =[font=\scriptsize]
\tikzstyle{sentence} =[font=\scriptsize,fill=blue!5!white]
\node[sentence] (node1) at (0,0) {[`low', `lower', `newest', `widest']};
\node[sentence,anchor = north] (node2) at ([yshift = -1em]node1.south) {[`l o w $<$e$>$':5, `l o w e r $<$e$>$':2, `n e w e s t $<$e$>$':6, `w i d e s t $<$e$>$':3]};
\node[sentence,anchor = north] (node3) at ([yshift = -1.5em]node2.south) {[`l o w $<$e$>$':5, `l o w e r $<$e$>$':2, `n e w {\red es} t $<$e$>$':6, `w i d {\red es} t $<$e$>$':3]};
\node[sentence,anchor = north] (node4) at ([yshift = -1em]node3.south) {[`l o w $<$e$>$':5, `l o w e r $<$e$>$':2, `n e w {\red est} $<$e$>$':6, `w i d {\red est} $<$e$>$':3]};
\node[sentence,anchor = north] (node5) at ([yshift = -1em]node4.south) {[`l o w $<$e$>$':5, `l o w e r $<$e$>$':2, `n e w {\red est$<$e$>$}':6, `w i d {\red est$<$e$>$}':3]};
\node[sentence,anchor = north] (node6) at ([yshift = -1em]node5.south) {$\cdots$};
\node[node,anchor = north] (node7) at ([yshift = -1.6em]node6.south) {直到达到预设的子词词表大小或下一个最高频的字节对出现频率为1。};
\draw[->,line width=.03cm] ([yshift=0em]node1.south) -- ([yshift=0em]node2.north);
\draw[->,line width=.03cm] ([yshift=0em]node3.south) -- ([yshift=0em]node4.north);
\draw[->,line width=.03cm] ([yshift=0em]node4.south) -- ([yshift=0em]node5.north);
\draw[->,line width=.03cm] ([yshift=0em]node5.south) -- ([yshift=0em]node6.north);
\node[node,anchor = west] (node8) at ([xshift = 2em,yshift = 2em]node7.east) {对于词表外的词lowest};
\node[node,anchor = north west] (node9) at ([yshift = 0.3em]node8.south west) {可以被分割为low est};
\node[node,font=\scriptsize,anchor = north,fill=ugreen!5,drop shadow] (dict) at ([xshift = 8em,yshift = -5em]node6.south){\begin{tabular}{llllll}
\multirow{3}{*}{子词词表:} & `es' & `est' & `est$<$e$>$' & `lo' & `low' \\
& `ne' & `new'&`newest$<$e$>$' & `low$<$e$>$'& `wi'\\
& `wid' & `widest$<$e$>$' & `lowe' & `lower'& `lower$<$e$>$'
\end{tabular}};
\node[node,anchor=west] (line1) at ([xshift = 8em]node1.south east) {按字符拆分，并添加};
\node[node,anchor=north west] (line2) at ([yshift=0.3em]line1.south west) {终结符$<$e$>$,统计词频。};
\node[node,anchor=north west] (line3) at ([yshift=-4em]line2.south west) {统计每一个连续字节对};
\node[node,anchor=north west] (line4) at ([yshift=0.3em]line3.south west) {的出现频率，选择最高};
\node[node,anchor=north west] (line5) at ([yshift=0.3em]line4.south west) {频者合并成新的子词};
\begin{pgfonlayer}{background}
%\node [rectangle,inner sep=0.2em,rounded corners=1pt,fill=red!10,drop shadow,draw=red] [fit = (line1) (line2) (line3) (line4)] (box1) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,very thick,dotted,draw=purple] [fit = (node1) (node2)] (box1) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,very thick,dotted,draw=teal] [fit = (node3) (node4) (node5) (node6)] (box2) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,fill=purple!5,drop shadow] [fit = (line1) (line2)] (box3) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,fill=ugreen!5,drop shadow] [fit = (line3) (line4) (line5)] (box4) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,fill=purple!5,drop shadow] [fit = (node7)] (box5) {};
\node [rectangle,inner sep=0.2em,rounded corners=1pt,fill=blue!5,drop shadow] [fit = (node8) (node9)] (box6) {};
\end{pgfonlayer}
\draw[->,line width=.03cm] ([yshift=0em]box2.south) -- ([yshift=0.2em]node7.north);
\draw[->,line width=.03cm] ([yshift=0em]box1.south) -- ([yshift=0em]box2.north);
\draw [->,dotted,very thick,purple] (box3.west) -- ([xshift=-1.5em]box3.west);
\draw [->,dotted,very thick,teal] (box4.west) -- ([xshift=-1.7em]box4.west);
\draw [->,dotted,very thick] ([xshift=6em]dict.north) .. controls +(north:1) and +(south:1) .. (box6.south);
\end{tikzpicture}
\ No newline at end of file
Chapter13/Figures/figure-unk-of-bpe.tex 0 → 100644
\begin{tikzpicture}
\node[rounded corners=3pt,minimum width=1.0em,minimum height=2.0em,font=\scriptsize,fill=green!5,drop shadow,thick,draw](top) at (0,0) {
\begin{tabular}{ll}
\multicolumn{2}{c}{BPE词表:} \\
errrr$<$e$>$ & tain$<$e$>$ \\
moun & est$<$e$>$ \\
high & the$<$e$>$ \\
a$<$e$>$ &
\end{tabular}
};
\node[font=\scriptsize,anchor=west] (node1) at ([xshift=0.5em,yshift=1em]top.east) {原始序列：};
\node[font=\scriptsize,anchor=west] (this) at (node1.east) {"this$<$e$>$" ,};
\node[font=\scriptsize,anchor=west] (highest) at (this.east) {"highest$<$e$>$",};
\node[font=\scriptsize,anchor=west] (mountain) at (highest.east) { "mountain$<$e$>$"};
\node[font=\scriptsize,anchor=west] (node2) at ([yshift=-1.5em]node1.south west) {BPE切分：};
\node[font=\scriptsize,anchor=west] (unk) at (node2.east) {"$<$unk$>$",};
\node[font=\scriptsize,anchor=west] (high) at (unk.east) {"high",};
\node[font=\scriptsize,anchor=west] (est) at (high.east) {"est$<$e$>$",};
\node[font=\scriptsize,anchor=west] (moun) at (est.east) {"moun",};
\node[font=\scriptsize,anchor=west] (tain) at (moun.east) {"tain$<$e$>$"};
%\draw[->,thick](node1.south) -- ([xshift=-1.0em]node2.north);
\draw[->,thick]([xshift=-0.2em]this.south) -- (unk);
\draw[->,thick](highest.south) -- (high);
\draw[->,thick](highest.south) -- (est);
\draw[->,thick](mountain.south) -- (moun);
\draw[->,thick](mountain.south) -- (tain);
\end{tikzpicture}
\ No newline at end of file
Chapter13/Figures/figure-word-change.tex 0 → 100644
\begin{center}
\begin{tikzpicture}
\node[rounded corners=3pt,minimum width=10.0em,minimum height=2.0em,draw,thick,fill=green!5,font=\scriptsize,drop shadow,inner sep=0.5em] (left) at (0,0) {
\begin{tabular}{c}
名词\\
\rule{0pt}{12pt}cat，cats 、watch，watches\\
\rule{0pt}{12pt}baby，babies、wife，wives\\
\end{tabular}
};
\node[rounded corners=3pt,minimum width=10.0em,minimum height=2.0em,draw,thick,fill=green!5,font=\scriptsize,drop shadow,inner sep=0.5em] (right) at ([xshift=8em]left.east) {
\begin{tabular}{c}
动词\\
\rule{0pt}{12pt}do，did ，does，doing，done\\
\rule{0pt}{12pt}have，had，has，having\\
\end{tabular}
};
\end{tikzpicture}
\end{center}
\ No newline at end of file
Chapter13/Figures/figure-word-root.tex 0 → 100644
\begin{tikzpicture}
\node[] (do) at (0,0) {{\red do}};
\node[anchor = west] (does) at ([xshift = 1em]do.east) {{\red do}es};
\node[anchor = west] (doing) at ([xshift = 0.7em]does.east) {{\red do}ing};
\node[anchor = north] (do_root) at ([yshift = -1.5em]does.south) {do};
\node[anchor = west] (new) at ([xshift = 2em]doing.east) {{\red new}};
\node[anchor = west] (newer) at ([xshift = 1em]new.east) {{\red new}er};
\node[anchor = west] (newest) at ([xshift = 0.7em]newer.east) {{\red new}est};
\node[anchor = north] (new_root) at ([yshift = -1.5em]newer.south) {new};
\draw [->] ([yshift=0.2em]do_root.north) .. controls +(north:0.4) and +(south:0.6) ..(do.south);
\draw [->] (do_root.north) -- (does.south);
\draw [->] ([yshift=0.2em]do_root.north) .. controls +(north:0.4) and +(south:0.6) ..(doing.south);
\draw [->] ([yshift=0.2em]new_root.north) .. controls +(north:0.4) and +(south:0.6) ..(new.south);
\draw [->] (new_root.north) -- (newer.south);
\draw [->] ([yshift=0.2em]new_root.north) .. controls +(north:0.4) and +(south:0.6) ..(newest.south);
\end{tikzpicture}
\ No newline at end of file
Chapter14/Figures/figure-reproduction-rate.tex
...@@ -27,7 +27,7 @@ ...@@ -27,7 +27,7 @@
\node[font=\footnotesize,anchor=east] (w1) at ([xshift=-0.5em]w2.west){\scriptsize\textbf{1}}; \node[font=\footnotesize,anchor=east] (w1) at ([xshift=-0.5em]w2.west){\scriptsize\textbf{1}};
\node[font=\footnotesize,anchor=west] (w4) at ([xshift=0.5em]w3.east){\scriptsize\textbf{0}}; \node[font=\footnotesize,anchor=west] (w4) at ([xshift=0.5em]w3.east){\scriptsize\textbf{0}};
\node[font=\footnotesize,anchor=west] (w5) at ([xshift=0.5em]w4.east){\scriptsize\textbf{1}}; \node[font=\footnotesize,anchor=west] (w5) at ([xshift=0.5em]w4.east){\scriptsize\textbf{1}};
\node[font=\footnotesize,anchor=south] (output) at ([yshift=1em]tgt_sf.north){\scriptsize\textbf{Wir akzeptieren das voll und ganz}}; \node[font=\footnotesize,anchor=south] (output) at ([yshift=1em]tgt_sf.north){\scriptsize\sffamily\bfseries{我们\quad 完全\quad 接受\quad 它\quad 。}};
\node[font=\footnotesize,anchor=north] (src) at ([yshift=-1em]src_emb.south){\scriptsize\textbf{We totally accept it .}}; \node[font=\footnotesize,anchor=north] (src) at ([yshift=-1em]src_emb.south){\scriptsize\textbf{We totally accept it .}};
\node[font=\footnotesize,anchor=north] (tgt) at ([yshift=-1em]tgt_emb.south){\scriptsize\textbf{We totally accept accept .}}; \node[font=\footnotesize,anchor=north] (tgt) at ([yshift=-1em]tgt_emb.south){\scriptsize\textbf{We totally accept accept .}};
......
Chapter16/Figures/figure-contrast-of-traditional-machine-learning&transfer-learning.tex 0 → 100644
%%% outline
%-------------------------------------------------------------------------
\begin{tikzpicture}
\tikzstyle{node}=[rounded corners=2pt,draw,minimum width=5em,minimum height=2em,drop shadow,font=\footnotesize]
\node[node,fill=blue!20] (nmt1) at (0,0){NMT系统1};
\node[node,anchor=west,fill=yellow!20] (nmt2) at ([xshift=1em]nmt1.east){NMT系统2};
\node[node,anchor=west,fill=red!20] (nmt3) at ([xshift=1em]nmt2.east){NMT系统3};
\node[node,anchor=south,fill=blue!20] (n1) at ([yshift=2.4em]nmt1.north){我不悦};
\node[node,anchor=west,fill=yellow!20] (n2) at ([xshift=1em]n1.east){我不开心};
\node[node,anchor=west,fill=red!20] (n3) at ([xshift=1em]n2.east){吾怀忳忳};
\node[node,anchor=south,fill=green!20,minimum height=1.6em] (task1) at ([yshift=2.6em]n2.north){不同任务};
\node[node,anchor=west,fill=green!20,minimum height=1.6em] (task2) at ([xshift=8em]task1.east){源任务};
\node[node,anchor=north,minimum height=3.2em,fill=orange!20] (n4) at ([yshift=-2em]task2.south){};
\node[draw,anchor=north,cylinder,shape border rotate=90,minimum width=3em,aspect=0.4,fill=orange!20] (kd) at ([yshift=-1.7em]n4.south){\footnotesize 知识};
\node[draw,minimum width=4em,font=\scriptsize,anchor=north,inner ysep=2pt,fill=blue!20] at ([yshift=-2.35em]task2.south){我不悦};
\node[draw,minimum width=4em,font=\scriptsize,anchor=north,inner ysep=2pt,fill=yellow!20] at ([yshift=-3.75em]task2.south){我不开心};
\node[node,anchor=west,fill=green!20,minimum height=1.6em] (task3) at ([xshift=3em]task2.east){目标任务};
\node[node,anchor=north,fill=red!20] (n5) at ([yshift=-2.5em]task3.south){吾怀忳忳};
\node[node,anchor=north,fill=red!20] (sys) at ([yshift=-2.5em]n5.south){学习系统};
\draw[->,thick] ([yshift=-0.2em,xshift=-0.7em]task1.-145) -- node[left,font=\scriptsize,yshift=0.2em]{书面语}([yshift=0.2em]n1.90);
\draw[->,thick] ([yshift=-0.2em]task1.-90) -- node[right,font=\scriptsize,yshift=0.2em,xshift=-0.2em]{口语}([yshift=0.2em]n2.90);
\draw[->,thick] ([yshift=-0.2em,xshift=0.7em]task1.-45) -- node[right,font=\scriptsize,yshift=0.2em]{文言文}([yshift=0.2em]n3.90);
\draw[->,thick] ([yshift=-0.2em]task2.-90) -- ([yshift=0.2em]n4.90);
\draw[->,thick] ([yshift=-0.2em]task3.-90) -- ([yshift=0.2em]n5.90);
\draw[->,thick] ([yshift=-0.2em]n1.-90) -- ([yshift=0.2em]nmt1.90);
\draw[->,thick] ([yshift=-0.2em]n2.-90) -- ([yshift=0.2em]nmt2.90);
\draw[->,thick] ([yshift=-0.2em]n3.-90) -- ([yshift=0.2em]nmt3.90);
\draw[->,thick] ([yshift=-0.2em]n4.-90) -- ([yshift=0.2em]kd.90);
\draw[->,thick] ([yshift=-0.2em]n5.-90) -- ([yshift=0.2em]sys.90);
\draw[->,thick] ([yshift=0.3em,xshift=0.2em]kd.0) -- ([yshift=-0.2em,xshift=-0.2em]sys.180);
\end{tikzpicture}
Chapter16/Figures/figure-knowledge-distillation-based-translation-process.tex 0 → 100644
%%% outline
%-------------------------------------------------------------------------
\begin{tikzpicture}
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=blue!20] (x) at (0,0) {$\seq{x}$};
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=red!15] (p) at (0,-2.4) {$\seq{p}$};
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=blue!20] (y) at (2.4,-1.2) {$\seq{y}$};
\draw[-,dashed,thick,black!50] (x.-90) -- (p.90);
\draw[-,dashed,thick,black!50] (p.0) -- (y.-135);
\draw[->,out=0,in=125,thick] (x.0) to node[above]{$\funp{P}(\seq{y}|\seq{x})$}(y.135);
\draw[->,out=0,in=-125,thick] (p.0) to node[below,yshift=-0.1em]{$\funp{P}(\seq{y}|\seq{p})$}(y.-135);
\end{tikzpicture}
Chapter16/Figures/figure-multi-language-single-model-system-diagram.tex 0 → 100644
%%% outline
%-------------------------------------------------------------------------
\begin{tikzpicture}
\tikzstyle{lan}=[font=\footnotesize,inner ysep=2pt,minimum height=1em]
\node[minimum height=3em,minimum width=8em,fill=orange!20,draw,rounded corners=2pt,align=center] (sys) at (0,0){多语言 \\ 单模型系统};
\node[draw,font=\footnotesize,minimum width=4em,fill=blue!20,rounded corners=1pt] (en) at (-3em,4em){英语};
\node[draw,font=\footnotesize,minimum width=4em,fill=blue!20,rounded corners=1pt] (fr) at (3em,4em){法语};
\node[minimum width=4em] at (6.6em,4em){$\dots$};
\node[draw,font=\footnotesize,minimum width=4em,fill=yellow!20,rounded corners=1pt] (de) at (-3em,-4em){德语};
\node[draw,font=\footnotesize,minimum width=4em,fill=yellow!20,rounded corners=1pt] (sp) at (3em,-4em){西班牙语};
\node[minimum width=4em] at (6.6em,-4em){$\dots$};
\draw[->,thick] (en.-90) -- ([xshift=-1em]sys.90);
\draw[->,thick] (fr.-90) -- ([xshift=1em]sys.90);
\draw[->,thick] ([xshift=-1em]sys.-90) -- (de.90);
\draw[->,thick] ([xshift=1em]sys.-90) -- (sp.90);
\node[font=\footnotesize] (train) at (11em,7em) {\small\bfnew{训练阶段：}};
\node[anchor=north,font=\footnotesize] (pair1) at ([yshift=-1em,xshift=1em]train.south) {双语句对1：};
\node[anchor=west,draw=blue!40,lan,minimum width=9.8em,fill=blue!20] (box1) at ([yshift=.7em,xshift=0.4em]pair1.east) {};
\node[anchor=west,lan] at ([yshift=.7em,xshift=0.4em]pair1.east) {英语：{\color{red}<spanish>} \ hello};
\node[anchor=west,draw=yellow!40,lan,minimum width=9.8em,fill=yellow!20] (box2) at ([yshift=-.7em,xshift=0.4em]pair1.east) {};
\node[anchor=west,lan] at ([yshift=-.7em,xshift=0.4em]pair1.east) {西班牙语：hola};
\node[anchor=north,font=\footnotesize] (pair2) at ([yshift=-4.5em,xshift=1em]train.south) {双语句对2：};
\node[anchor=west,draw=blue!40,lan,minimum width=9.8em,fill=blue!20] (box3) at ([yshift=.7em,xshift=0.4em]pair2.east) {};
\node[anchor=west,lan] at ([yshift=.7em,xshift=0.4em]pair2.east) {法语：{\color{red}<german>} \ Bonjour};
\node[anchor=west,draw=yellow!40,lan,minimum width=9.8em,fill=yellow!20] (box4) at ([yshift=-.7em,xshift=0.4em]pair2.east) {};
\node[anchor=west,lan] at ([yshift=-.7em,xshift=0.4em]pair2.east) {德语：Hallo};
\node[anchor=north,font=\footnotesize] (decode) at ([yshift=-8em]train.south) {\small\bfnew{解码阶段：}};
\node[anchor=north,font=\footnotesize] (input) at ([yshift=-0.6em]decode.south) {输入：};
\node[anchor=west,draw=blue!40,lan,minimum width=9.8em,fill=blue!20] (box5) at ([xshift=0.4em]input.east) {};
\node[anchor=west,lan] at ([xshift=0.4em]input.east) {英语：{\color{red}<german>} \ hello};
\node[anchor=north,font=\footnotesize] (output) at ([yshift=-2.6em]decode.south) {输出：};
\node[anchor=west,draw=yellow!40,lan,minimum width=9.8em,fill=yellow!20] (box6) at ([xshift=0.4em]output.east) {};
\node[anchor=west,lan] at ([xshift=0.4em]output.east) {德语：Hallo};
\node[anchor=north,lan,minimum width=9.8em] (box7) at ([yshift=-2em]box4.south) {};
\begin{pgfonlayer}{background}
\node[fill=red!15,draw=red!30,rounded corners=2pt,inner ysep=6pt,line width=1pt][fit=(train)(box4)]{};
\node[fill=green!20,,draw=green!40,rounded corners=2pt,inner ysep=6pt,line width=1pt][fit=(decode)(box7)(box6)]{};
\end{pgfonlayer}
\end{tikzpicture}
Chapter16/Figures/figure-optimization-of-the-model-initialization-method.tex 0 → 100644
\begin{tabular}{c c}
\begin{tikzpicture}
\begin{scope}
% ,minimum height =1em,minimum width=2em
\tikzstyle{circle} = [draw,black,very thick,inner sep=3.5pt,rounded corners=4pt,minimum width=2em]
\tikzstyle{word} = [inner sep=3.5pt]
\node[circle](data) at (0,0) {数据};
\node[circle](model) at ([xshift=5em]data.east) {模型};
\node[word] (init) at ([xshift=-5em]data.west){初始化};
\draw[->,very thick] (init.east) -- ([xshift=-0.2em]data.west);
\draw [->,very thick] ([yshift=1pt]data.north) .. controls +(90:2em) and +(90:2em) .. ([yshift=1pt]model.north) node[above,midway] {参数优化};
\draw [->,very thick] ([yshift=1pt]model.south) .. controls +(-90:2em) and +(-90:2em) .. ([yshift=1pt]data.south) node[below,midway] {数据优化};
\node[word] at ([yshift=-5em]data.south){（a）思路1};
\end{scope}
\end{tikzpicture}
&
\begin{tikzpicture}
\begin{scope}
% ,minimum height =1em,minimum width=2em
\tikzstyle{circle} = [draw,black,very thick,inner sep=3.5pt,rounded corners=4pt,minimum width=2em]
\tikzstyle{word} = [inner sep=3.5pt]
\node[circle](data) at (0,0) {数据};
\node[circle](model) at ([xshift=5em]data.east) {模型};
\node[word] (init) at ([xshift=5em]model.east){初始化};
\draw[->,very thick] (init.west) -- ([xshift=0.2em]model.east);
\draw [->,very thick] ([yshift=1pt]data.north) .. controls +(90:2em) and +(90:2em) .. ([yshift=1pt]model.north) node[above,midway] {参数优化};
\draw [->,very thick] ([yshift=1pt]model.south) .. controls +(-90:2em) and +(-90:2em) .. ([yshift=1pt]data.south) node[below,midway] {数据优化};
\node[word] at ([yshift=-5em]model.south){（b）思路2};
\end{scope}
\end{tikzpicture}
\end{tabular}
\ No newline at end of file
Chapter16/Figures/figure-parameter-initialization-method-diagram.tex 0 → 100644
%%% outline
%-------------------------------------------------------------------------
\begin{tikzpicture}
\tikzstyle{node}=[rounded corners=4pt,draw,minimum height=3em,drop shadow,font=\footnotesize]
\node[node,minimum width=6em,minimum height=2.4em,fill=blue!20] (encoder1) at (0,0){\small 编码器};
\node[node,anchor=west,minimum width=6em,minimum height=2.4em,fill=blue!20] (encoder2) at ([xshift=4em,yshift=0em]encoder1.east){\small 编码器};
\node[node,anchor=west,minimum width=6em,minimum height=2.4em,fill=red!20] (encoder3) at ([xshift=3em]encoder2.east){\small 编码器};
\node[node,anchor=north,minimum width=6em,minimum height=2.4em,fill=blue!20] (decoder1) at ([yshift=-3em]encoder1.south){\small 解码器};
\node[node,anchor=west,minimum width=6em,minimum height=2.4em,fill=blue!20] (decoder2) at ([xshift=4em,yshift=0em]decoder1.east){\small 解码器};
\node[node,anchor=west,minimum width=6em,minimum height=2.4em,fill=red!20] (decoder3) at ([xshift=3em]decoder2.east){\small 解码器};
\node[anchor=north,font=\scriptsize,fill=yellow!20] (w1) at ([yshift=-1.6em]decoder1.south){知识 \ 就是 \ 力量 \ 。 \ <EOS>};
\node[anchor=north,font=\scriptsize,fill=green!20] (w3) at ([yshift=-1.6em]decoder3.south){Wissen \ ist \ Machit \ . \ <EOS>};
\node[anchor=south,font=\scriptsize,fill=orange!20] (w2) at ([yshift=1.6em]encoder1.north){Knowledge \ is \ power \ . };
\node[anchor=south,font=\scriptsize,fill=orange!20] (w4) at ([yshift=1.6em]encoder3.north){Knowledge \ is \ power \ . };
\draw[->,thick] (decoder1.-90) -- (w1.north);
\draw[->,thick] (decoder3.-90) -- (w3.north);
\draw[->,thick] (w2.-90) -- (encoder1.90);
\draw[->,thick] (w4.-90) -- (encoder3.90);
\node [anchor=north,single arrow,minimum height=2.2em,fill=blue!20,rotate=-90] (arrow1) at ([yshift=-1.4em,xshift=0.4em]encoder1.south) {};
\node [anchor=north,single arrow,minimum height=2.2em,fill=blue!20,rotate=-90] (arrow2) at ([yshift=-1.4em,xshift=0.4em]encoder2.south) {};
\node [anchor=north,single arrow,minimum height=2.2em,fill=red!20,rotate=-90] (arrow3) at ([yshift=-1.4em,xshift=0.4em]encoder3.south) {};
\node[anchor=south,yshift=3.4em] at (encoder1.north){\small\bfnew{父模型}};
\node[anchor=south,yshift=3.4em] at (encoder3.north){\small\bfnew{子模型}};
\draw[->,dash pattern=on 3pt off 2pt,thick] ([yshift=0em]encoder1.0) -- node[above,font=\scriptsize]{参数复用}(encoder2.180);
\draw[->,dash pattern=on 3pt off 2pt,thick] (encoder2.0) -- node[above,font=\scriptsize]{微调}(encoder3.180);
\draw[->,dash pattern=on 3pt off 2pt,thick] ([yshift=0em]decoder1.0) -- node[above,font=\scriptsize]{参数复用}(decoder2.180);
\draw[->,dash pattern=on 3pt off 2pt,thick] (decoder2.0) -- node[above,font=\scriptsize]{微调}(decoder3.180);
\end{tikzpicture}
Chapter16/Figures/figure-pivot-based-translation-process.tex 0 → 100644
%%% outline
%-------------------------------------------------------------------------
\begin{tikzpicture}
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=blue!20] (x) at (0,0) {$\seq{x}$};
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=red!15] (p) at (2,0) {$\seq{p}$};
\node[draw,circle,inner sep=2pt,minimum size=2em,fill=blue!20] (y) at (4,0) {$\seq{y}$};
\draw[-,dashed,thick,black!50] (x.0) -- (p.180);
\draw[-,dashed,thick,black!50] (p.0) -- (y.180);
\draw[->,out=90,in=90,thick] (x.90) to node[above]{$\funp{P}(\seq{p}|\seq{x})$}(p.90);
\draw[->,out=90,in=90,thick] (p.90) to node[above]{$\funp{P}(\seq{y}|\seq{p})$}(y.90);
\end{tikzpicture}
Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-a.tex 0 → 100644
\begin{tikzpicture} % "THE GLOBE" showcase
\begin{scope}[rotate=30]
\def\R{1.4} % sphere radius
\def\angEl{35} % elevation angle
\filldraw[ball color=gray!20] (0,0) circle (\R);
\foreach \t in {-80,-60,...,80} { \DrawLatitudeCircle[\R]{\t} }
\foreach \t in {-5,-35,...,-175} { \DrawLongitudeCircle[\R]{\t} }
\end{scope}
\end{tikzpicture}
Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-b.tex 0 → 100644
\begin{tikzpicture} % "THE GLOBE" showcase
\begin{scope}[rotate=-30]
\def\R{1.4} % sphere radius
\def\angEl{35} % elevation angle
\filldraw[ball color=gray!20] (0,0) circle (\R);
\foreach \t in {-80,-60,...,80} { \DrawLatitudeCircle[\R]{\t} }
\foreach \t in {-5,-35,...,-175} { \DrawLongitudeCircle[\R]{\t} }
\end{scope}
\end{tikzpicture}
Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-c.tex 0 → 100644
\begin{tikzpicture} % "THE GLOBE" showcase
\begin{scope}[rotate=-30]
\def\R{1.4} % sphere radius
\def\angEl{35} % elevation angle
\filldraw[ball color=gray!20] (0,0) circle (\R);
\foreach \t in {-80,-60,...,80} { \DrawLatitudeCircle[\R]{\t} }
\foreach \t in {-5,-35,...,-175} { \DrawLongitudeCircle[\R]{\t} }
\end{scope}
\end{tikzpicture}
Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-d.tex 0 → 100644
\begin{tikzpicture} % "THE GLOBE" showcase
\begin{scope}[rotate=-30]
\def\R{1.4} % sphere radius
\def\angEl{35} % elevation angle
\filldraw[ball color=gray!20] (0,0) circle (\R);
\foreach \t in {-80,-60,...,80} { \DrawLatitudeCircle[\R]{\t} }
\foreach \t in {-5,-35,...,-175} { \DrawLongitudeCircle[\R]{\t} }
\end{scope}
\end{tikzpicture}
Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary.tex 0 → 100644
%% helper macros
\newcommand\pgfmathsinandcos[3]{%
\pgfmathsetmacro#1{sin(#3)}%
\pgfmathsetmacro#2{cos(#3)}%
}
\newcommand\LongitudePlane[3][current plane]{%
\pgfmathsinandcos\sinEl\cosEl{#2} % elevation
\pgfmathsinandcos\sint\cost{#3} % azimuth
\tikzset{#1/.estyle={cm={\cost,\sint*\sinEl,0,\cosEl,(0,0)}}}
}
\newcommand\LatitudePlane[3][current plane]{%
\pgfmathsinandcos\sinEl\cosEl{#2} % elevation
\pgfmathsinandcos\sint\cost{#3} % latitude
\pgfmathsetmacro\yshift{\cosEl*\sint}
\tikzset{#1/.estyle={cm={\cost,0,0,\cost*\sinEl,(0,\yshift)}}} %
}
\newcommand\DrawLongitudeCircle[2][1]{
\LongitudePlane{\angEl}{#2}
\tikzset{current plane/.prefix style={scale=#1}}
% angle of "visibility"
\pgfmathsetmacro\angVis{atan(sin(#2)*cos(\angEl)/sin(\angEl))} %
\draw[current plane] (\angVis:1) arc (\angVis:\angVis+180:1);
\draw[current plane,dashed] (\angVis-180:1) arc (\angVis-180:\angVis:1);
}
\newcommand\DrawLatitudeCircle[2][1]{
\LatitudePlane{\angEl}{#2}
\tikzset{current plane/.prefix style={scale=#1}}
\pgfmathsetmacro\sinVis{sin(#2)/cos(#2)*sin(\angEl)/cos(\angEl)}
% angle of "visibility"
\pgfmathsetmacro\angVis{asin(min(1,max(\sinVis,-1)))}
\draw[current plane] (\angVis:1) arc (\angVis:-\angVis-180:1);
\draw[current plane,dashed] (180-\angVis:1) arc (180-\angVis:\angVis:1);
}
\begin{tikzpicture}
\tikzstyle{cir} = [draw,line width=0.5pt,align=center,minimum height=0.5em,minimum width=0.5em,circle,fill=white]
\tikzstyle{rec} = [draw,line width=0.5pt,align=center,minimum height=0.5em,minimum width=0.5em,fill=white]
\node[](circle1) at (0,0) {\input{Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-a}};
\node[](circle2) at ([xshift=3.0em]circle1.east) {\input{Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-b}};
\node[](circle3) at ([xshift=5.5em]circle2.east) {\input{Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-c}};
\node[](circle4) at ([xshift=5.5em]circle3.east) {\input{Chapter16/Figures/figure-shared-space-inductive-bilingual-dictionary-d}};
\draw[->,very thick] ([xshift=-0.5em]circle2.east)--([xshift=0.5em]circle3.west)node [pos=0.5,above] (pos1) {\scriptsize{Y空间}};
\node [anchor=south](pos1-2) at ([yshift=-0.5em]pos1.north){\scriptsize{X映射到}};
\draw[->,very thick] ([xshift=-0.5em]circle3.east)--([xshift=0.5em]circle4.west)node [pos=0.5,above] (pos2) {\scriptsize{推断}};
\node [anchor=south](pos2-2) at ([yshift=-0.5em]pos2.north){\scriptsize{词典}};
%circle1
\node[rec,anchor=center,rotate=60,fill=green!30](c1x1) at ([xshift=-7em,yshift=-1.4em]circle1.east){\tiny{1}};
\node[rec,anchor=center,rotate=60,fill=green!30](c1x2) at ([xshift=-4.5em,yshift=1.8em]circle1.east){\tiny{2}};
\node[rec,anchor=center,rotate=60,fill=green!30](c1x3) at ([xshift=-4em,yshift=-0.5em]circle1.east){\tiny{3}};
\node[rec,anchor=center,rotate=60,fill=green!30](c1x4) at ([xshift=-3.5em,yshift=-2.5em]circle1.east){\tiny{4}};
\node[rec,anchor=center,rotate=60,fill=green!30](c1x5) at ([xshift=-2em,yshift=1.0em]circle1.east){\tiny{5}};
%circle2
\node[cir,anchor=center,rotate=-30,fill=red!30] (c2a) at ([xshift=-5.3em,yshift=2.15em]circle2.east){\tiny{a}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c2b) at ([xshift=2.0em,yshift=-1.25em]c2a.east){\tiny{b}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c2c) at ([xshift=0.8em,yshift=-3.9em]c2a.south){\tiny{c}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c2x) at ([xshift=-0.3em,yshift=-1.9em]c2a.south){\tiny{x}};
\node[cir,anchor=west,rotate=-30,fill=red!30] (c2y) at ([xshift=1.15em,yshift=-2.85em]c2a.east){\tiny{y}};
%circle3
\node[rec,anchor=center,rotate=-30,fill=green!30] (c3x1) at ([xshift=-6.7em,yshift=1.75em]circle3.east){\tiny{1}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c3x2) at ([xshift=4.7em,yshift=-0.95em]c3x1.east){\tiny{2}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c3x3) at ([xshift=2.6em,yshift=-2.4em]c3x1.south){\tiny{3}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c3x4) at ([xshift=0.35em,yshift=-2.7em]c3x1.south){\tiny{4}};
\node[rec,anchor=west,rotate=-30,fill=green!30] (c3x5) at ([xshift=2.35em,yshift=-3.85em]c3x1.east){\tiny{5}};
%circle4
\node[rec,anchor=center,rotate=-30,fill=green!30] (c4x1) at ([xshift=-6.7em,yshift=1.75em]circle4.east){\tiny{1}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c4x2) at ([xshift=4.7em,yshift=-0.95em]c4x1.east){\tiny{2}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c4x3) at ([xshift=2.6em,yshift=-2.4em]c4x1.south){\tiny{3}};
\node[rec,anchor=east,rotate=-30,fill=green!30] (c4x4) at ([xshift=0.35em,yshift=-2.7em]c4x1.south){\tiny{4}};
\node[rec,anchor=west,rotate=-30,fill=green!30] (c4x5) at ([xshift=2.35em,yshift=-3.85em]c4x1.east){\tiny{5}};
\node[cir,anchor=center,rotate=-30,fill=red!30] (c4a) at ([xshift=-5.3em,yshift=2.15em]circle4.east){\tiny{a}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c4b) at ([xshift=2.0em,yshift=-1.25em]c4a.east){\tiny{b}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c4c) at ([xshift=0.8em,yshift=-3.9em]c4a.south){\tiny{c}};
\node[cir,anchor=east,rotate=-30,fill=red!30] (c4x) at ([xshift=-0.3em,yshift=-1.9em]c4a.south){\tiny{x}};
\node[cir,anchor=west,rotate=-30,fill=red!30] (c4y) at ([xshift=1.15em,yshift=-2.85em]c4a.east){\tiny{y}};
\draw [color=red,line width=0.7pt,rotate=18] ([xshift=-5.1em,yshift=3.7em]circle4.east) ellipse (1.6em and 0.9em);
\draw [color=red,line width=0.7pt,rotate=-5] ([xshift=-2.8em,yshift=0.6em]circle4.east) ellipse (1.6em and 0.9em);
\draw [color=red,line width=0.7pt,rotate=65] ([xshift=-3.10em,yshift=2.10em]circle4.east) ellipse (1.6em and 0.9em);
\draw [color=red,line width=0.7pt,rotate=60] ([xshift=-3.75em,yshift=3.7em]circle4.east) ellipse (1.5em and 0.9em);
\draw [color=red,line width=0.7pt,rotate=65] ([xshift=-3.4em,yshift=5.9em]circle4.east) ellipse (1.5em and 0.9em);
\node [anchor=north](part1) at ([yshift=0.5em]circle1.south){\small{$\mathbi{X}$}};
\node [anchor=west](part2) at ([xshift=6em]part1.east){\small{$\mathbi{Y}$}};
\node [anchor=west](part3) at ([xshift=8.2em]part2.east){\small{$\mathbi{X}\cdot \mathbi{W}$}};
\node [anchor=west](part3) at ([xshift=15.0em]part2.east){\small{$\mathbi{X}\cdot \mathbi{W}$和$\mathbi{Y}$在同一空间}};
\node [anchor=center](c1) at (5.4,-1.0){\small{$\mathbi{W}$}};
\draw[->,thick] (5.8,-1.2)..controls (5.5,-1.5) and(5.2,-1.2) ..(5.2,-1.2)..controls (4.9,-0.9) and (5.2,-0.6)..(5.5,-0.6);
\end{tikzpicture}
Chapter16/Figures/figure-unmt-process.tex 0 → 100644
\begin{tikzpicture}
\begin{scope}
% ,minimum height =1em,minimum width=2em
\tikzstyle{circle} = [draw,black,very thick,inner sep=3.5pt,rounded corners=4pt,minimum width=2em,align=center]
\tikzstyle{word} = [inner sep=3.5pt]
\node[circle](center) at (0,0) {
\begin{tabular}{c | c}
$s\rightarrow t$ & $t\rightarrow s$ \\
模型 & 模型
\end{tabular}
};
\node[circle] (left) at ([xshift=-9em]center.west) {$s\rightarrow t$ \\ 数据};
\node[circle] (right) at ([xshift=9em]center.east) {$t\rightarrow s$ \\ 数据};
\node[word] (init) at ([yshift=6em]center.north){初始化};
\node[circle] (down) at ([yshift=-8em]center.south) {$s,t$ \\ 数据};
\draw[->,very thick] (init.south) -- ([yshift=0.2em]center.north);
\draw[->,very thick] ([yshift=0.2em]down.north) -- ([yshift=-0.2em]center.south) node[pos=.44,midway,align=center] {语言模型\\目标函数\\（模型优化）};
\draw[->,very thick] ([yshift=1pt]left.north) .. controls +(90:2em) and +(90:2em) .. ([yshift=1pt,xshift=-2.2em]center.north) node[above,midway,align=center] {正常MT目标函数\\（模型优化）};
\draw[->,very thick] ([yshift=1pt,xshift=-1.8em]center.north) .. controls +(90:2em) and +(90:2em) .. ([yshift=1pt]right.north) node[above,pos=0.6,align=center] {回译\\（数据优化）};
\draw [->,very thick] ([yshift=1pt]right.south) .. controls +(-90:2em) and +(-90:2em) .. ([yshift=1pt,xshift=2.2em]center.south) node[below,midway,align=center] {正常MT目标函数\\（模型优化）};
\draw [->,very thick] ([yshift=1pt,xshift=1.8em]center.south) .. controls +(-90:2em) and +(-90:2em) .. ([yshift=1pt]left.south) node[below,pos=0.6,align=center] {回译\\（数据优化）};
%\draw[->,very thick] (init.east) -- ([xshift=-0.2em]data.west);
%\draw [->,very thick] ([yshift=1pt]data.north) .. controls +(90:2em) and +(90:2em) .. ([yshift=1pt]model.north) node[above,midway] {参数优化};
%\draw [->,very thick] ([yshift=1pt]model.south) .. controls +(-90:2em) and +(-90:2em) .. ([yshift=1pt]data.south) node[below,midway] {数据优化};
%\node[word] at ([yshift=-5em]data.south){（a）思路1};
\end{scope}
\end{tikzpicture}
Chapter6/chapter6.tex
...@@ -21,7 +21,7 @@ ...@@ -21,7 +21,7 @@
% CHAPTER 6 % CHAPTER 6
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
\chapter{基于扭曲度和繁衍率的翻译模型} \chapter{基于扭曲度和繁衍率的模型}
{\chapterfive}展示了一种基于单词的翻译模型。这种模型的形式非常简单，而且其隐含的词对齐信息具有较好的可解释性。不过，语言翻译的复杂性远远超出人们的想象。有两方面挑战\ \dash\ 如何对“ 调序”问题进行建模以及如何对“一对多翻译”问题进行建模。调序是翻译问题中所特有的现象，比如，汉语到日语的翻译中，需要对谓词进行调序。另一方面，一个单词在另一种语言中可能会被翻译为多个连续的词，比如，汉语“ 联合国”翻译到英语会对应三个单词“The United Nations”。这种现象也被称作一对多翻译，它与句子长度预测有着密切的联系。 {\chapterfive}展示了一种基于单词的翻译模型。这种模型的形式非常简单，而且其隐含的词对齐信息具有较好的可解释性。不过，语言翻译的复杂性远远超出人们的想象。有两方面挑战\ \dash\ 如何对“ 调序”问题进行建模以及如何对“一对多翻译”问题进行建模。调序是翻译问题中所特有的现象，比如，汉语到日语的翻译中，需要对谓词进行调序。另一方面，一个单词在另一种语言中可能会被翻译为多个连续的词，比如，汉语“ 联合国”翻译到英语会对应三个单词“The United Nations”。这种现象也被称作一对多翻译，它与句子长度预测有着密切的联系。
...@@ -32,7 +32,7 @@ ...@@ -32,7 +32,7 @@
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
\sectionnewpage \sectionnewpage
\section{基于扭曲度的翻译模型} \section{基于扭曲度的模型}
下面将介绍扭曲度在机器翻译中的定义及使用方法。这也带来了两个新的翻译模型\ \dash\ IBM模型2\upcite{DBLP:journals/coling/BrownPPM94}和HMM翻译模型\upcite{vogel1996hmm}。 下面将介绍扭曲度在机器翻译中的定义及使用方法。这也带来了两个新的翻译模型\ \dash\ IBM模型2\upcite{DBLP:journals/coling/BrownPPM94}和HMM翻译模型\upcite{vogel1996hmm}。
...@@ -161,7 +161,7 @@ ...@@ -161,7 +161,7 @@
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
\sectionnewpage \sectionnewpage
\section{基于繁衍率的翻译模型} \section{基于繁衍率的模型}
下面介绍翻译中的一对多问题，以及这个问题所带来的句子长度预测问题。 下面介绍翻译中的一对多问题，以及这个问题所带来的句子长度预测问题。
......
Chapter7/chapter7.tex
...@@ -21,7 +21,7 @@ ...@@ -21,7 +21,7 @@
% CHAPTER 7 % CHAPTER 7
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
\chapter{基于短语的翻译模型} \chapter{基于短语的模型}
\parinterval 机器翻译的一个基本问题是要定义翻译的基本单元是什么。比如，可以像{\chapterfive}介绍的那样，以单词为单位进行翻译，即把句子的翻译看作是单词之间对应关系的一种组合。基于单词的模型是符合人类对翻译问题的认知的，因为单词本身就是人类加工语言的一种基本单元。另一方面，在进行翻译时也可以使用一些更“复杂”的知识。比如，很多词语间的搭配需要根据语境的变化进行调整，而且对于句子结构的翻译往往需要更上层的知识，如句法知识。因此，在对单词翻译进行建模的基础上，需要探索其他类型的翻译知识，使得搭配和结构翻译等问题可以更好地被建模。 \parinterval 机器翻译的一个基本问题是要定义翻译的基本单元是什么。比如，可以像{\chapterfive}介绍的那样，以单词为单位进行翻译，即把句子的翻译看作是单词之间对应关系的一种组合。基于单词的模型是符合人类对翻译问题的认知的，因为单词本身就是人类加工语言的一种基本单元。另一方面，在进行翻译时也可以使用一些更“复杂”的知识。比如，很多词语间的搭配需要根据语境的变化进行调整，而且对于句子结构的翻译往往需要更上层的知识，如句法知识。因此，在对单词翻译进行建模的基础上，需要探索其他类型的翻译知识，使得搭配和结构翻译等问题可以更好地被建模。
......
ChapterPreface/Figures/figure-preface.tex
...@@ -12,7 +12,7 @@ ...@@ -12,7 +12,7 @@
\node [partnode,anchor=south,blue,minimum height=9.0em,minimum width=22.7em,fill=white] (part1) at ([yshift=-0.5em]0,0) {}; \node [partnode,anchor=south,blue,minimum height=9.0em,minimum width=22.7em,fill=white] (part1) at ([yshift=-0.5em]0,0) {};
\node [anchor=north] (part1label) at ([yshift=-0.3em]part1.north) {\sffamily\bfseries{机器翻译基础}}; \node [anchor=north] (part1label) at ([yshift=-0.3em]part1.north) {\sffamily\bfseries{机器翻译基础}};
\node [anchor=north west,draw=blue,thick,fill=white,rounded corners] (part1title) at ([xshift=-0.3em,yshift=0.3em]part1.north west) {{\color{blue} {\sffamily\bfseries 第一部分}}}; \node [anchor=north west,draw=blue,thick,fill=white,rounded corners] (part1title) at ([xshift=-0.3em,yshift=0.3em]part1.north west) {{\color{blue} {\sffamily\bfseries 第一部分}}};
\node [secnode,anchor=south,fill=ugreen!20,minimum width=21.6em,align=center] (sec01) at (0,0) {第一章\hspace{1em} 机器翻译的前世今生}; \node [secnode,anchor=south,fill=ugreen!20,minimum width=21.6em,align=center] (sec01) at (0,0) {第一章\hspace{1em} 机器翻译简介};
\node [secnode,anchor=south west,fill=blue!20] (sec02) at ([yshift=0.8em]sec01.north west) {第二章\hspace{1em} 统计语言建模基础\hspace{3em}}; \node [secnode,anchor=south west,fill=blue!20] (sec02) at ([yshift=0.8em]sec01.north west) {第二章\hspace{1em} 统计语言建模基础\hspace{3em}};
\node [secnode,anchor=south west,fill=blue!20] (sec03) at ([yshift=0.8em]sec02.north west) {第三章\hspace{1em} 词法分析和语法分析基础}; \node [secnode,anchor=south west,fill=blue!20] (sec03) at ([yshift=0.8em]sec02.north west) {第三章\hspace{1em} 词法分析和语法分析基础};
\node [secnode,anchor=north west,fill=blue!20,minimum width=7em,minimum height=4.1em,align=center] (sec04) at ([xshift=0.6em]sec03.north east) {第四章\\ 翻译质量评价}; \node [secnode,anchor=north west,fill=blue!20,minimum width=7em,minimum height=4.1em,align=center] (sec04) at ([xshift=0.6em]sec03.north east) {第四章\\ 翻译质量评价};
...@@ -25,7 +25,7 @@ ...@@ -25,7 +25,7 @@
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\node [anchor=north west,draw=orange,thick,fill=white,rounded corners] (part2title) at ([xshift=-0.3em,yshift=0.3em]part2.north west) {{\color{orange} {\sffamily\bfseries 第二部分}}}; \node [anchor=north west,draw=orange,thick,fill=white,rounded corners] (part2title) at ([xshift=-0.3em,yshift=0.3em]part2.north west) {{\color{orange} {\sffamily\bfseries 第二部分}}};
\node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=left] (sec04) at ([yshift=0.5em]part2.south) {第五章\hspace{1em} 基于词的机器翻译建模 \hspace{2.35em}}; \node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=left] (sec04) at ([yshift=0.5em]part2.south) {第五章\hspace{1em} 基于词的机器翻译建模 \hspace{2.35em}};
\node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec05) at ([yshift=0.8em]sec04.north) {\hspace{1.4em}第六章\hspace{1em} 基于扭曲度和繁衍率的翻译模型}; \node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec05) at ([yshift=0.8em]sec04.north) {\hspace{1.0em}第六章\hspace{1em} 基于扭曲度和繁衍率的模型\hspace{1.6em}};
\node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec06) at ([yshift=0.8em]sec05.north) {第七章\hspace{1em} 基于短语的模型 \hspace{5.35em}}; \node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec06) at ([yshift=0.8em]sec05.north) {第七章\hspace{1em} 基于短语的模型 \hspace{5.35em}};
\node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec07) at ([yshift=0.8em]sec06.north) {第八章\hspace{1em} 基于句法的模型 \hspace{5.35em}}; \node [secnode,anchor=south,fill=orange!20,minimum width=17em,align=center] (sec07) at ([yshift=0.8em]sec06.north) {第八章\hspace{1em} 基于句法的模型 \hspace{5.35em}};
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...@@ -36,7 +36,7 @@ ...@@ -36,7 +36,7 @@
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\node [anchor=north] (part3label) at ([yshift=-0.3em]part3.north) {\sffamily\bfseries{神经机器翻译}}; \node [anchor=north] (part3label) at ([yshift=-0.3em]part3.north) {\sffamily\bfseries{神经机器翻译}};
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\node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec10) at ([yshift=0.8em]sec09.north west) {第十章\\ 基于循环神经 \\ 网络的模型}; \node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec10) at ([yshift=0.8em]sec09.north west) {第十章\\ 基于循环神经 \\ 网络的模型};
\node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec11) at ([xshift=0.8em]sec10.south east) {第十一章\\ 基于卷积神经 \\ 网络的模型}; \node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec11) at ([xshift=0.8em]sec10.south east) {第十一章\\ 基于卷积神经 \\ 网络的模型};
\node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec12) at ([xshift=0.8em]sec11.south east) {第十二章\\ 基于自注意力 \\ 的模型}; \node [secnode,anchor=south west,fill=red!20,minimum width=6.6em,minimum height=4.5em,align=center] (sec12) at ([xshift=0.8em]sec11.south east) {第十二章\\ 基于自注意力 \\ 的模型};
...@@ -44,6 +44,7 @@ ...@@ -44,6 +44,7 @@
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% part 4 % part 4
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\node [anchor=north] (part4label) at ([yshift=-0.3em]part4.north) {\sffamily\bfseries{机器翻译前沿}}; \node [anchor=north] (part4label) at ([yshift=-0.3em]part4.north) {\sffamily\bfseries{机器翻译前沿}};
......
ChapterPreface/chapterpreface.tex
...@@ -64,7 +64,7 @@ ...@@ -64,7 +64,7 @@
\vspace{0.5em} \vspace{0.5em}
\item 第一部分：机器翻译基础 \item 第一部分：机器翻译基础
\begin{itemize} \begin{itemize}
\item 第一章\ 机器翻译的前世今生 \item 第一章\ 机器翻译简介
\item 第二章\ 统计语言建模基础 \item 第二章\ 统计语言建模基础
\item 第三章\ 词法分析和语法分析基础 \item 第三章\ 词法分析和语法分析基础
\item 第四章\ 翻译质量评价 \item 第四章\ 翻译质量评价
...@@ -80,7 +80,7 @@ ...@@ -80,7 +80,7 @@
\vspace{0.5em} \vspace{0.5em}
\item 第三部分：神经机器翻译 \item 第三部分：神经机器翻译
\begin{itemize} \begin{itemize}
\item 第九章\ 人工神经网络基础及神经语言模型 \item 第九章\ 人工神经网络和神经语言建模
\item 第十章\ 基于循环神经网络的模型 \item 第十章\ 基于循环神经网络的模型
\item 第十一章\ 基于卷积神经网络的模型 \item 第十一章\ 基于卷积神经网络的模型
\item 第十二章\ 基于自注意力的模型 \item 第十二章\ 基于自注意力的模型
...@@ -105,7 +105,7 @@ ...@@ -105,7 +105,7 @@
本书的第三部分主要介绍神经机器翻译模型，该模型也是近些年机器翻译的热点。第九章介绍了神经网络和深度学习的基础知识以保证本书知识体系的完备性。同时，第九章也介绍了基于神经网络的语言模型，其建模思想在神经机器翻译中被大量使用。第十、十一、十二章分别对三种经典的神经机器翻译模型进行介绍，以模型提出的时间为序，从最初的基于循环网络的模型，到最新的Transformer模型均有涉及。其中也会对编码器-解码器框架、注意力机制等经典方法和技术进行介绍。 本书的第三部分主要介绍神经机器翻译模型，该模型也是近些年机器翻译的热点。第九章介绍了神经网络和深度学习的基础知识以保证本书知识体系的完备性。同时，第九章也介绍了基于神经网络的语言模型，其建模思想在神经机器翻译中被大量使用。第十、十一、十二章分别对三种经典的神经机器翻译模型进行介绍，以模型提出的时间为序，从最初的基于循环网络的模型，到最新的Transformer模型均有涉及。其中也会对编码器-解码器框架、注意力机制等经典方法和技术进行介绍。
本书的第四部分会进一步对机器翻译的前沿技术进行讨论，以神经机器翻译为主。第十三、十四、十五章是神经机器翻译研发的三个主要方面，也是近几年机器翻译领域讨论最多的几个方向。第十六章也是机器翻译的热门方向之一，包括无监督翻译等主题都会在这里被讨论。第十六章会对语音、图像翻译等多模态方法以及篇章级翻译等方法进行介绍，它们可以被看作是机器翻译在更多任务上的扩展。第十七章会结合笔者在各种机器翻译比赛和机器翻译产品研发的经验，对机器翻译的应用技术进行讨论。 本书的第四部分会进一步对机器翻译的前沿技术进行讨论，以神经机器翻译为主。第十三、十四、十五章是神经机器翻译研发的三个主要方面，也是近几年机器翻译领域讨论最多的几个方向。第十六章也是机器翻译的热门方向之一，包括无监督翻译等主题都会在这里被讨论。第十七章会对语音、图像翻译等多模态方法以及篇章级翻译等方法进行介绍，它们可以被看作是机器翻译在更多任务上的扩展。第十八章会结合笔者在各种机器翻译比赛和机器翻译产品研发的经验，对机器翻译的应用技术进行讨论。
%------------------------------------------- %-------------------------------------------
\begin{figure}[htp] \begin{figure}[htp]
......
bibliography.bib
...@@ -5893,6 +5893,50 @@ author = {Yoshua Bengio and ...@@ -5893,6 +5893,50 @@ author = {Yoshua Bengio and
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% chapter 13------------------------------------------------------ %%%%% chapter 13------------------------------------------------------
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...@@ -7777,7 +7821,7 @@ author = {Zhuang Liu and ...@@ -7777,7 +7821,7 @@ author = {Zhuang Liu and
Huishuai Zhang and Huishuai Zhang and
Yanyan Lan and Yanyan Lan and
Liwei Wang and Liwei Wang and
Tie{-}Yan Liu}, Tie-Yan Liu},
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...@@ -7898,7 +7942,7 @@ author = {Zhuang Liu and ...@@ -7898,7 +7942,7 @@ author = {Zhuang Liu and
Marcus Frean and Marcus Frean and
Lennox Leary and Lennox Leary and
J. P. Lewis and J. P. Lewis and
Kurt Wan{-}Duo Ma and Kurt Wan-Duo Ma and
Brian McWilliams}, Brian McWilliams},
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...@@ -7909,7 +7953,7 @@ author = {Zhuang Liu and ...@@ -7909,7 +7953,7 @@ author = {Zhuang Liu and
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@inproceedings{DBLP:conf/icml/Allen-ZhuLS19, @inproceedings{DBLP:conf/icml/Allen-ZhuLS19,
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Yuanzhi Li and Yuanzhi Li and
Zhao Song}, Zhao Song},
title = {A Convergence Theory for Deep Learning via Over-Parameterization}, title = {A Convergence Theory for Deep Learning via Over-Parameterization},
...@@ -8069,7 +8113,7 @@ author = {Zhuang Liu and ...@@ -8069,7 +8113,7 @@ author = {Zhuang Liu and
Fei Tian and Fei Tian and
Tao Qin and Tao Qin and
Enhong Chen and Enhong Chen and
Tie{-}Yan Liu}, Tie-Yan Liu},
title = {Neural Architecture Optimization}, title = {Neural Architecture Optimization},
publisher = {Advances in Neural Information Processing Systems}, publisher = {Advances in Neural Information Processing Systems},
pages = {7827--7838}, pages = {7827--7838},
...@@ -8212,12 +8256,12 @@ author = {Zhuang Liu and ...@@ -8212,12 +8256,12 @@ author = {Zhuang Liu and
@inproceedings{DBLP:conf/cvpr/LiuCSAHY019, @inproceedings{DBLP:conf/cvpr/LiuCSAHY019,
author = {Chenxi Liu and author = {Chenxi Liu and
Liang{-}Chieh Chen and Liang-Chieh Chen and
Florian Schroff and Florian Schroff and
Hartwig Adam and Hartwig Adam and
Wei Hua and Wei Hua and
Alan L. Yuille and Alan L. Yuille and
Fei{-}Fei Li}, Fei-Fei Li},
title = {Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic title = {Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic
Image Segmentation}, Image Segmentation},
pages = {82--92}, pages = {82--92},
...@@ -8276,7 +8320,7 @@ author = {Zhuang Liu and ...@@ -8276,7 +8320,7 @@ author = {Zhuang Liu and
Lingxi Xie and Lingxi Xie and
Xiaopeng Zhang and Xiaopeng Zhang and
Xin Chen and Xin Chen and
Guo{-}Jun Qi and Guo-Jun Qi and
Qi Tian and Qi Tian and
Hongkai Xiong}, Hongkai Xiong},
title = {{PC-DARTS:} Partial Channel Connections for Memory-Efficient Architecture title = {{PC-DARTS:} Partial Channel Connections for Memory-Efficient Architecture
...@@ -8329,8 +8373,8 @@ author = {Zhuang Liu and ...@@ -8329,8 +8373,8 @@ author = {Zhuang Liu and
Maxim Neumann and Maxim Neumann and
Jonathon Shlens and Jonathon Shlens and
Wei Hua and Wei Hua and
Li{-}Jia Li and Li-Jia Li and
Li Fei{-}Fei and Li Fei-Fei and
Alan L. Yuille and Alan L. Yuille and
Jonathan Huang and Jonathan Huang and
Kevin Murphy}, Kevin Murphy},
...@@ -8346,8 +8390,8 @@ author = {Zhuang Liu and ...@@ -8346,8 +8390,8 @@ author = {Zhuang Liu and
Fei Tian and Fei Tian and
Yingce Xia and Yingce Xia and
Tao Qin and Tao Qin and
Xiang{-}Yang Li and Xiang-Yang Li and
Tie{-}Yan Liu}, Tie-Yan Liu},
title = {Searching Better Architectures for Neural Machine Translation}, title = {Searching Better Architectures for Neural Machine Translation},
journal = {IEEE Transactions on Audio, Speech, and Language Processing}, journal = {IEEE Transactions on Audio, Speech, and Language Processing},
volume = {28}, volume = {28},
...@@ -8481,7 +8525,7 @@ author = {Zhuang Liu and ...@@ -8481,7 +8525,7 @@ author = {Zhuang Liu and
Junjie Yan and Junjie Yan and
Wei Wu and Wei Wu and
Jing Shao and Jing Shao and
Cheng{-}Lin Liu}, Cheng-Lin Liu},
title = {Practical Block-Wise Neural Network Architecture Generation}, title = {Practical Block-Wise Neural Network Architecture Generation},
pages = {2423--2432}, pages = {2423--2432},
publisher = {IEEE Conference on Computer Vision and Pattern Recognition}, publisher = {IEEE Conference on Computer Vision and Pattern Recognition},
...@@ -8550,7 +8594,7 @@ author = {Zhuang Liu and ...@@ -8550,7 +8594,7 @@ author = {Zhuang Liu and
Bo Chen and Bo Chen and
Grace Chu and Grace Chu and
Shuyang Cheng and Shuyang Cheng and
Pieter{-}Jan Kindermans and Pieter-Jan Kindermans and
Quoc V. Le}, Quoc V. Le},
title = {Can Weight Sharing Outperform Random Architecture Search? An Investigation title = {Can Weight Sharing Outperform Random Architecture Search? An Investigation
With TuNAS}, With TuNAS},
...@@ -8608,7 +8652,7 @@ author = {Zhuang Liu and ...@@ -8608,7 +8652,7 @@ author = {Zhuang Liu and
@inproceedings{DBLP:conf/icml/BenderKZVL18, @inproceedings{DBLP:conf/icml/BenderKZVL18,
author = {Gabriel Bender and author = {Gabriel Bender and
Pieter{-}Jan Kindermans and Pieter-Jan Kindermans and
Barret Zoph and Barret Zoph and
Vijay Vasudevan and Vijay Vasudevan and
Quoc V. Le}, Quoc V. Le},
...@@ -8663,7 +8707,7 @@ author = {Zhuang Liu and ...@@ -8663,7 +8707,7 @@ author = {Zhuang Liu and
Lijun Wu and Lijun Wu and
Jinhua Zhu and Jinhua Zhu and
Tao Qin and Tao Qin and
Tie{-}Yan Liu}, Tie-Yan Liu},
title = {Microsoft Research Asia's Systems for {WMT19}}, title = {Microsoft Research Asia's Systems for {WMT19}},
pages = {424--433}, pages = {424--433},
publisher = {Annual Meeting of the Association for Computational Linguistics}, publisher = {Annual Meeting of the Association for Computational Linguistics},
...@@ -8710,7 +8754,7 @@ author = {Zhuang Liu and ...@@ -8710,7 +8754,7 @@ author = {Zhuang Liu and
@article{DBLP:journals/corr/abs-2008-06808, @article{DBLP:journals/corr/abs-2008-06808,
author = {Henry Tsai and author = {Henry Tsai and
Jayden Ooi and Jayden Ooi and
Chun{-}Sung Ferng and Chun-Sung Ferng and
Hyung Won Chung and Hyung Won Chung and
Jason Riesa}, Jason Riesa},
title = {Finding Fast Transformers: One-Shot Neural Architecture Search by title = {Finding Fast Transformers: One-Shot Neural Architecture Search by
...@@ -11548,7 +11592,84 @@ author = {Zhuang Liu and ...@@ -11548,7 +11592,84 @@ author = {Zhuang Liu and
publisher = {European Association of Computational Linguistics}, publisher = {European Association of Computational Linguistics},
year = {2017} year = {2017}
} }
@inproceedings{DBLP:conf/aaai/Zhang0LZC18,
author = {Zhirui Zhang and
Shujie Liu and
Mu Li and
Ming Zhou and
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title = {Joint Training for Neural Machine Translation Models with Monolingual
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%%%%% chapter 16------------------------------------------------------ %%%%% chapter 16------------------------------------------------------
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
......
mt-book-xelatex.tex
...@@ -107,7 +107,8 @@ ...@@ -107,7 +107,8 @@
{\large {\large
\noindent {\color{red} 在此感谢为本书做出贡献的小牛团队（部分）成员} \\ \noindent {\color{red} 在此感谢为本书做出贡献的小牛团队（部分）成员} \\
\noindent 曹润柘、曾信、孟霞、单韦乔、姜雨帆、王子扬、刘辉、许诺、李北、刘继强、张哲旸、周书含、周涛、李炎洋、林野、陈贺轩、刘晓倩、牛蕊、田丰宁、杜权、李垠桥、许晨、张裕浩、胡驰、冯凯、王泽洋、刘腾博、罗应峰、魏冰浩、刘兴宇、徐萍、赵闯、高博、张春良、王会珍、张俐、杨木润、宁义明、李洋、秦浩、胡明涵 \\ \noindent 曹润柘、曾信、孟霞、单韦乔、周涛、周书含、许诺、李北、许晨、林野、李垠桥、王子扬、刘辉、张裕浩、冯凯、罗应峰、魏冰浩、王屹超、李炎洋、姜雨帆、田丰宁、刘继强、张哲旸、陈贺轩、刘晓倩、牛蕊、杜权、胡驰、王泽洋、刘腾博、刘兴宇、徐萍、赵闯、高博、张春良、王会珍、张俐、杨木润、宁义明、李洋、秦浩、胡明涵、马安香 \\
} }
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
......
structure.tex
...@@ -555,7 +555,7 @@ addtohook={% ...@@ -555,7 +555,7 @@ addtohook={%
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
% NEW PAGE FOR SUBSECTION % NEW PAGE FOR SUBSECTION
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
%\newcommand{\sectionnewpage}{\clearpage} %\newcommand{\sectionnewpage}{\clearpage}%每小节另起一页
\newcommand{\sectionnewpage}{} \newcommand{\sectionnewpage}{}
%---------------------------------------------------------------------------------------- %----------------------------------------------------------------------------------------
...@@ -665,8 +665,9 @@ addtohook={% ...@@ -665,8 +665,9 @@ addtohook={%
\usepackage{collcell} \usepackage{collcell}
\usepackage[mathscr]{euscript} \usepackage[mathscr]{euscript}
%%%%%%%%%%%chapter 11--------------------------------------- %%%%%%%%%%%chapter 16---------------------------------------
\usetikzlibrary{calc,fadings,decorations.pathreplacing}
\usepackage{verbatim}
\newcommand{\mychapter}[1]{第\ref{#1}章}%chapter用 \newcommand{\mychapter}[1]{第\ref{#1}章}%chapter用
\newcommand{\mysection}[1]{第\ref{#1}节}%section、subsection、subsubsection用 \newcommand{\mysection}[1]{第\ref{#1}节}%section、subsection、subsubsection用
......
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