Skip to content

M
mtbookv2
Commit cd3be094 by 曹润柘
Options

合并分支 'caorunzhe' 到 'master' 

Caorunzhe

查看合并请求 !618
parents db111f77 ee13533a
正在显示 包含 91 行增加 和 124 行删除
Chapter1/chapter1.tex
...@@ -186,7 +186,7 @@ ...@@ -186,7 +186,7 @@
\includegraphics[scale=0.3]{./Chapter1/Figures/figure-wmt-participation.jpg} \includegraphics[scale=0.3]{./Chapter1/Figures/figure-wmt-participation.jpg}
\includegraphics[scale=0.3]{./Chapter1/Figures/figure-wmt-bestresults.jpg} \includegraphics[scale=0.3]{./Chapter1/Figures/figure-wmt-bestresults.jpg}
\setlength{\belowcaptionskip}{-1.5em} \setlength{\belowcaptionskip}{-1.5em}
\caption{WMT\ 19国际机器翻译大赛（左：WMT\ 19参赛队伍；右：WMT\ 19各项目的最好分数结果）} \caption{WMT\ 19国际机器翻译大赛（左：WMT\ 19参赛队伍；右：WMT\ 19各项目的最好分数）}
\label{fig:1-5} \label{fig:1-5}
\end{figure} \end{figure}
%------------------------------------------- %-------------------------------------------
...@@ -200,7 +200,7 @@ ...@@ -200,7 +200,7 @@
\sectionnewpage \sectionnewpage
\section{机器翻译现状及挑战} \section{机器翻译现状及挑战}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\parinterval 机器翻译技术发展到今天已经过无数次迭代，技术范式也经过若干次更替，近些年机器翻译的应用也如雨后春笋相继浮现。今天的机器翻译的质量究竟如何呢？乐观地说，在很多特定的条件下，机器翻译的译文结果是非常不错的，甚至可以接近人工翻译的结果。然而，在开放式翻译任务中，机器翻译的结果还并不完美。更严格来说，机器翻译的质量远没有达到人们所期望的程度。对于有些人提到的“机器翻译代替人工翻译”也并不是事实。比如，在高精度同声传译任务中，机器翻译仍需要更多打磨；再比如，针对于小说的翻译，机器翻译还无法做到与人工翻译媲美；甚至有人尝试用机器翻译系统翻译中国古代诗词，这里更多的是娱乐的味道。但是毫无疑问的是，机器翻译可以帮助人类，甚至有朝一日可以代替一些低端的人工翻译工作。 \parinterval 机器翻译技术发展到今天已经过无数次迭代，技术范式也经过若干次更替，近些年机器翻译的应用也如雨后春笋相继浮现。今天的机器翻译的质量究竟如何呢？乐观地说，在很多特定的条件下，机器翻译的译文结果是非常不错的，甚至可以接近人工翻译的结果。然而，在开放式翻译任务中，机器翻译的结果还并不完美。更严格来说，机器翻译的质量远没有达到人们所期望的程度。对于有些人提到的“机器翻译将代替人工翻译”也并不是事实。比如，在高精度同声传译任务中，机器翻译仍需要更多打磨；再比如，针对于小说的翻译，机器翻译还无法做到与人工翻译媲美；甚至有人尝试用机器翻译系统翻译中国古代诗词，这里更多的是娱乐的味道。但是毫无疑问的是，机器翻译可以帮助人类，甚至有朝一日可以代替一些低端的人工翻译工作。
\parinterval 图\ref{fig:1-6}展示了机器翻译和人工翻译质量的一个对比结果。在汉语到英语的新闻翻译任务中，如果对译文进行人工评价（五分制），那么机器翻译的译文得分为3.9分，人工译文得分为4.7分（人的翻译也不是完美的）。可见，在这个任务中机器翻译表现不错，但是与人还有一定差距。如果换一种方式评价，把人的译文作为参考答案，用机器翻译的译文与其进行比对（百分制），会发现机器翻译的得分只有47分。当然，这个结果并不是说机器翻译的译文质量很差，它更多的是表明机器翻译系统可以生成一些与人工翻译不同的译文，机器翻译也具有一定的创造性。这也类似于，很多围棋选手都想向AlphaGo学习，因为智能围棋系统也可以走出一些人类从未走过的妙招。 \parinterval 图\ref{fig:1-6}展示了机器翻译和人工翻译质量的一个对比结果。在汉语到英语的新闻翻译任务中，如果对译文进行人工评价（五分制），那么机器翻译的译文得分为3.9分，人工译文得分为4.7分（人的翻译也不是完美的）。可见，在这个任务中机器翻译表现不错，但是与人还有一定差距。如果换一种方式评价，把人的译文作为参考答案，用机器翻译的译文与其进行比对（百分制），会发现机器翻译的得分只有47分。当然，这个结果并不是说机器翻译的译文质量很差，它更多的是表明机器翻译系统可以生成一些与人工翻译不同的译文，机器翻译也具有一定的创造性。这也类似于，很多围棋选手都想向AlphaGo学习，因为智能围棋系统也可以走出一些人类从未走过的妙招。
...@@ -549,7 +549,7 @@ ...@@ -549,7 +549,7 @@
\vspace{0.5em} \vspace{0.5em}
\item EMNLP，全称Conference on Empirical Methods in Natural Language Processing，自然语言处理另一个顶级会议之一，由ACL当中对语言数据和经验方法有特殊兴趣的团体主办，始于1996年。会议比较偏重于方法和经验性结果。 \item EMNLP，全称Conference on Empirical Methods in Natural Language Processing，自然语言处理另一个顶级会议之一，由ACL当中对语言数据和经验方法有特殊兴趣的团体主办，始于1996年。会议比较偏重于方法和经验性结果。
\vspace{0.5em} \vspace{0.5em}
\item MT Summit，全称Machine Translation Summit，是机器翻译领域的重要峰会。该会议的特色是与产业结合，在探讨机器翻译技术问题的同时，更多的关注机器翻译的应用落地工作，因此备受产业界关注。该会议每两年举办一次，通常由欧洲机器翻译协会（The European Association for Machine Translation，EAMT）、美国机器翻译协会（The Association for Machine Translation in the Americas，AMTA）、亚洲-太平洋地区机器翻译协会（Asia-Pacific Association for Machine Translation，AAMT）。 \item MT Summit，全称Machine Translation Summit，是机器翻译领域的重要峰会。该会议的特色是与产业结合，在探讨机器翻译技术问题的同时，更多的关注机器翻译的应用落地工作，因此备受产业界关注。该会议每两年举办一次，通常由欧洲机器翻译协会（The European Association for Machine Translation，EAMT）、美国机器翻译协会（The Association for Machine Translation in the Americas，AMTA）、亚洲-太平洋地区机器翻译协会（Asia-Pacific Association for Machine Translation，AAMT）举办。
\vspace{0.5em} \vspace{0.5em}
\item NAACL，全称Annual Conference of the North American Chapter of the Association for Computational Linguistics，为ACL北美分会，在自然语言处理领域也属于顶级会议，每年会选择一个北美城市召开会议。 \item NAACL，全称Annual Conference of the North American Chapter of the Association for Computational Linguistics，为ACL北美分会，在自然语言处理领域也属于顶级会议，每年会选择一个北美城市召开会议。
\vspace{0.5em} \vspace{0.5em}
......
Chapter18/Figures/figure-translation-interfered.tex
...@@ -2,48 +2,30 @@ ...@@ -2,48 +2,30 @@
%%% outline %%% outline
%------------------------------------------------------------------------- %-------------------------------------------------------------------------
\begin{tikzpicture}[scale=0.8] \begin{tikzpicture}[scale=0.8]
\tikzstyle{every node}=[scale=0.8] \tikzstyle{diction}=[align=center,rounded corners=2pt, draw,drop shadow,fill=green!20,font=\scriptsize]
\tikzstyle{node}=[rounded corners=4pt, draw,minimum width=3em, minimum height=2em, drop shadow={shadow xshift=0.14em, shadow yshift=-0.14em}] \tikzstyle{word}=[align=center,anchor=west]
\begin{scope} \begin{scope}
%\draw[fill=yellow!20] (-5em, 0) -- (-6em, 1em) -- (5em, 1em) -- (6em, 0em) -- (5em, -1em) -- (-6em, -1em) -- (-5em, 0em); \node[word] (origin) at (0,0) {源文};
%\draw[fill=yellow!20] (-5em, 10em) -- (-6em, 11.2em) -- (5em, 11.2em) -- (6em, 10em) -- (5em,8.8em) -- (-6em, 8.8em) -- (-5em, 10em); \node[word] (n1) at ([xshift=1em]origin.east){{\color{red} 小牛翻译}的总部在哪里？};
\node[] (n1) at (0,0){小牛翻译的总部在哪里？};
\node[node,fill=blue!20] (c1) at (0, 5em){\scriptsize\bfnew{机器翻译}};
\node[align=left] (n2) at (0,10em){Where is the headquarters \\ of {\color{red} Mavericks Translation}?};
\node [draw,single arrow,inner ysep=0.3em, minimum height=2.4em, rotate=90,fill=cyan!40,very thin] (arrow1) at (0, 2.4em) {};
\node [draw,single arrow,inner ysep=0.3em, minimum height=2em, rotate=90,fill=cyan!40,very thin] (arrow1) at (0, 7.2em) {};
\node[font=\Large,text=red] at (0, -2em){\ding{56}};
\end{scope}
\begin{scope}[xshift=14em]
%\draw[fill=yellow!20] (-5em, 0) -- (-6em, 1em) -- (5em, 1em) -- (6em, 0em) -- (5em, -1em) -- (-6em, -1em) -- (-5em, 0em);
%\draw[fill=yellow!20] (-5em, 10em) -- (-6em, 11.2em) -- (5em, 11.2em) -- (6em, 10em) -- (5em,8.8em) -- (-6em, 8.8em) -- (-5em, 10em);
\node[] (n3) at (0,0){小牛翻译的总部在哪里？};
\node[node,fill=blue!20] (c2) at (-3em, 5em){\scriptsize\bfnew{机器翻译}};
\node[node,fill=red!20] (c3) at (3em, 5em){\scriptsize\bfnew{术语词典}};
\node[font=\scriptsize,draw,inner sep=3pt,fill=red!20,minimum height=1em] (w1) at (9em, 6.5em){小牛翻译};
\node[font=\scriptsize,draw,inner sep=3pt,fill=red!20,minimum height=1em] (w2) at (9em, 3.5em){NiuTrans}; \node[word] (right) at ([yshift=-6em]origin.south west){译文};
\node[font=\Large] (add) at (0em, 5em){+}; \node[word] (n3) at ([xshift=1em]right.east){Where is the headquarters \\ of {\color{red} NiuTrans}?};
\node[align=left] (n4) at (0,10em){Where is the headquarters \\ of {\color{red} NiuTrans}?};
\node [draw,single arrow,inner ysep=0.3em, minimum height=2.4em, rotate=90,fill=cyan!40,very thin] (arrow1) at (0, 2.4em) {}; %\node[diction] (dic) at ([xshift=2em,yshift=-1.8em]n1.south east) {
\node [draw,single arrow,inner ysep=0.3em, minimum height=2em, rotate=90,fill=cyan!40,very thin] (arrow1) at (0, 7.2em) {}; %术语词典 \\
%小牛翻译 = NiuTrans \\
%......
%};
%\draw[->,red] ([yshift=-0.2em]dic.west) .. controls +(west:2em) and +(south:2em) .. ( [xshift=-4em]n1.south) node[above,midway,font=\scriptsize]{};
\node[font=\scriptsize] at ([yshift=-2.3em,xshift=-6em]n1.south) {“小牛翻译”=“NiuTrans”};
\draw[->,very thick] ([yshift=-0.2em,xshift=-0.4em]n1.south) -- ([yshift=0.2em]n3.north);
%\draw[->,very thick] ([yshift=-0.2em,xshift=-0.2em]n2.south) -- ([yshift=0.2em]n3.north);
\draw[dash pattern=on 1pt off 0.5pt,black,line width=1.2pt,->, out=180, in=45] ([xshift=-0.2em]w1.180) to ([xshift=0.2em]c3.20);
\draw[dash pattern=on 1pt off 0.5pt,black,line width=1.2pt,->,out=180,in=-45] ([xshift=-0.2em]w2.180) to ([xshift=0.2em]c3.-20);
\node[font=\Large,text=ugreen] at (0, -2em){\ding{52}};
\end{scope} \end{scope}
\end{tikzpicture} \end{tikzpicture}
Chapter3/Figures/figure-examples-of-chinese-word-segmentation-based-on-1-gram-model.tex
...@@ -39,24 +39,7 @@ ...@@ -39,24 +39,7 @@
\node[rectangle,draw=ublue,thick,inner sep=0.2em,fill=white,drop shadow] [fit = (sentlabel) (sent)] (segsystem) {}; \node[rectangle,draw=ublue,thick,inner sep=0.2em,fill=white,drop shadow] [fit = (sentlabel) (sent)] (segsystem) {};
\end{pgfonlayer} \end{pgfonlayer}
{\footnotesize
{
\node [anchor=west] (label1) at (0,6em) {实际上，通过学习我们得到了一个分词模型$\funp{P}(\cdot)$，给定任意的分词结果};
\node [anchor=north west] (label1part2) at ([yshift=0.5em]label1.south west) {$W=w_1 w_2...w_n$，都能通过$\funp{P}(W)=\funp{P}(w_1) \cdot \funp{P}(w_2) \cdot ... \cdot \funp{P}(w_n)$ 计算这种分\hspace{0.13em} };
\node [anchor=north west] (label1part3) at ([yshift=0.5em]label1part2.south west) {词的概率值};
}
\begin{pgfonlayer}{background}
{
\node[rectangle,fill=blue!10,thick,dotted,inner sep=0.2em] [fit = (label1) (label1part2) (label1part3)] (label1content) {};
}
\end{pgfonlayer}
{
\draw [-,thick,dotted] ([yshift=0.3em]modellabel.north) ..controls +(north:0.5) and +(south:0.5).. ([xshift=-3em]label1content.south);
}
}
{\footnotesize {\footnotesize
{ {
......
Chapter5/Figures/figure-a-more-detailed-explanation-of-formula-3.40.tex
...@@ -9,8 +9,8 @@ ...@@ -9,8 +9,8 @@
\begin{tikzpicture} \begin{tikzpicture}
\node [anchor=west,inner sep=2pt,minimum height=2em] (eq1) at (0,0) {$f(s_u|t_v)$}; \node [anchor=west,inner sep=2pt,minimum height=2em] (eq1) at (0,0) {$f(s_u|t_v)$};
\node [anchor=west,inner sep=2pt] (eq2) at ([xshift=-2pt]eq1.east) {$=$}; \node [anchor=west,inner sep=2pt] (eq2) at ([xshift=-1pt]eq1.east) {$=$};
\node [anchor=west,inner sep=2pt,minimum height=2em] (eq3) at ([xshift=-2pt]eq2.east) {$\lambda_{t_v}^{-1}$}; \node [anchor=west,inner sep=2pt,minimum height=2em] (eq3) at ([xshift=-1pt]eq2.east) {$\lambda_{t_v}^{-1}$};
\node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq4) at ([xshift=-3pt]eq3.east) {\footnotesize{$\frac{\varepsilon}{(l+1)^{m}} \prod\limits_{j=1}^{m} \sum\limits_{i=0}^{l} f(s_j|t_i)$}}; \node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq4) at ([xshift=-3pt]eq3.east) {\footnotesize{$\frac{\varepsilon}{(l+1)^{m}} \prod\limits_{j=1}^{m} \sum\limits_{i=0}^{l} f(s_j|t_i)$}};
\node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq5) at ([xshift=1pt]eq4.east) {\footnotesize{$\sum\limits_{j=1}^{m} \delta(s_j,s_u) \sum\limits_{i=0}^{l} \delta(t_i,t_v)$}}; \node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq5) at ([xshift=1pt]eq4.east) {\footnotesize{$\sum\limits_{j=1}^{m} \delta(s_j,s_u) \sum\limits_{i=0}^{l} \delta(t_i,t_v)$}};
\node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq6) at ([xshift=1pt]eq5.east) {$\frac{f(s_u|t_v)}{\sum_{i=0}^{l}f(s_u|t_i)}$}; \node [anchor=west,inner sep=2pt,minimum height=3.0em] (eq6) at ([xshift=1pt]eq5.east) {$\frac{f(s_u|t_v)}{\sum_{i=0}^{l}f(s_u|t_i)}$};
......
Chapter5/Figures/figure-example-translation-alignment.tex
...@@ -4,9 +4,9 @@ ...@@ -4,9 +4,9 @@
\begin{tabular}{| l | l |} \begin{tabular}{| c | c |}
\hline \hline
& {\footnotesize{$\prod\limits_{(j,i) \in \hat{A}} \funp{P}(s_j,t_i)$} } \\ \hline \rule{0pt}{15pt} 源语言句子“我对你感到满意”的不同翻译结果& {\footnotesize{$\prod\limits_{(j,i) \in \hat{A}} \funp{P}(s_j,t_i)$} } \\ \hline
\begin{tikzpicture} \begin{tikzpicture}
......
Chapter5/Figures/figure-greedy-mt-decoding-process-1.tex
...@@ -63,29 +63,29 @@ ...@@ -63,29 +63,29 @@
\node [anchor=north,inner sep=2pt,fill=purple!20,minimum height=1.5em,minimum width=4.5em] (t53) at ([yshift=-0.2em]t52.south) {satisfies}; \node [anchor=north,inner sep=2pt,fill=purple!20,minimum height=1.5em,minimum width=4.5em] (t53) at ([yshift=-0.2em]t52.south) {satisfies};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} 0.2}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} .7}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} 0.7}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} 0.3}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} 0.2}};
} }
} }
{\scriptsize {\scriptsize
...@@ -173,34 +173,34 @@ ...@@ -173,34 +173,34 @@
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} 0.2}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} .7}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} 0.7}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} 0.3}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} 0.2}};
} }
} }
......
Chapter5/Figures/figure-greedy-mt-decoding-process-3.tex
...@@ -63,34 +63,34 @@ ...@@ -63,34 +63,34 @@
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} 0.2}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} .7}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} 0.7}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} 0.3}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} 0.2}};
} }
} }
...@@ -228,34 +228,34 @@ ...@@ -228,34 +228,34 @@
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt11) at (t11.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt12) at (t12.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt13) at (t13.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt21) at (t21.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt22) at (t22.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt23) at (t23.east) {{\color{white} 0.2}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} .7}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt31) at (t31.east) {{\color{white} 0.7}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt32) at (t32.east) {{\color{white} 0.3}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} .4}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt41) at (t41.east) {{\color{white} 0.4}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt42) at (t42.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} .1}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt43) at (t43.east) {{\color{white} 0.1}};
} }
{ {
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} .3}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt51) at (t51.east) {{\color{white} 0.3}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt52) at (t52.east) {{\color{white} 0.2}};
\node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} .2}}; \node [anchor=north,rotate=90,inner sep=1pt,minimum width=1.5em,fill=black] (pt53) at (t53.east) {{\color{white} 0.2}};
} }
} }
......
Chapter5/Figures/figure-ibm-model-iteration-process-diagram.tex
...@@ -5,8 +5,8 @@ ...@@ -5,8 +5,8 @@
\begin{tikzpicture} \begin{tikzpicture}
\node [anchor=west,inner sep=2pt,fill=red!20,minimum height=3em] (eq1) at (0,0) {$f(s_u|t_v)$}; \node [anchor=west,inner sep=2pt,fill=red!20,minimum height=3em] (eq1) at (0,0) {$f(s_u|t_v)$};
\node [anchor=west,inner sep=2pt] (eq2) at ([xshift=-2pt]eq1.east) {$=$}; \node [anchor=west,inner sep=2pt] (eq2) at ([xshift=-1pt]eq1.east) {$=$};
\node [anchor=west,inner sep=2pt] (eq3) at ([xshift=-2pt]eq2.east) {$\lambda_{t_v}^{-1}$}; \node [anchor=west,inner sep=2pt] (eq3) at ([xshift=-1pt]eq2.east) {$\lambda_{t_v}^{-1}$};
\node [anchor=west,inner sep=2pt] (eq4) at ([xshift=-2pt]eq3.east) {$\frac{\varepsilon}{(l+1)^{m}}$}; \node [anchor=west,inner sep=2pt] (eq4) at ([xshift=-2pt]eq3.east) {$\frac{\varepsilon}{(l+1)^{m}}$};
\node [anchor=west,inner sep=2pt,fill=red!20,minimum height=3em] (eq5) at ([xshift=-2pt]eq4.east) {\footnotesize{$\prod\limits_{j=1}^{m} \sum\limits_{i=0}^{l} f(s_j|t_i)$}}; \node [anchor=west,inner sep=2pt,fill=red!20,minimum height=3em] (eq5) at ([xshift=-2pt]eq4.east) {\footnotesize{$\prod\limits_{j=1}^{m} \sum\limits_{i=0}^{l} f(s_j|t_i)$}};
\node [anchor=west,inner sep=2pt] (eq6) at ([xshift=-2pt]eq5.east) {\footnotesize{$\sum\limits_{j=1}^{m} \delta(s_j,s_u) \sum\limits_{i=0}^{l} \delta(t_i,t_v)$}}; \node [anchor=west,inner sep=2pt] (eq6) at ([xshift=-2pt]eq5.east) {\footnotesize{$\sum\limits_{j=1}^{m} \delta(s_j,s_u) \sum\limits_{i=0}^{l} \delta(t_i,t_v)$}};
......
bibliography.bib
...@@ -5791,7 +5791,7 @@ author = {Yoshua Bengio and ...@@ -5791,7 +5791,7 @@ author = {Yoshua Bengio and
@article{Wang2018MultilayerRF, @article{Wang2018MultilayerRF,
title={Multi-layer Representation Fusion for Neural Machine Translation}, title={Multi-layer Representation Fusion for Neural Machine Translation},
author={Qiang Wang and Fuxue Li and Tong Xiao and Yanyang Li and Yinqiao Li and Jingbo Zhu}, author={Qiang Wang and Fuxue Li and Tong Xiao and Yanyang Li and Yinqiao Li and Jingbo Zhu},
journal={ArXiv}, journal={International Conference on Computational Linguistics},
year={2018}, year={2018},
volume={abs/2002.06714} volume={abs/2002.06714}
} }
...@@ -6703,7 +6703,8 @@ author = {Yoshua Bengio and ...@@ -6703,7 +6703,8 @@ author = {Yoshua Bengio and
@article{Lan2020ALBERTAL, @article{Lan2020ALBERTAL,
title={ALBERT: A Lite BERT for Self-supervised Learning of Language Representations}, title={ALBERT: A Lite BERT for Self-supervised Learning of Language Representations},
author={Zhenzhong Lan and Mingda Chen and Sebastian Goodman and Kevin Gimpel and Piyush Sharma and Radu Soricut}, author={Zhenzhong Lan and Mingda Chen and Sebastian Goodman and Kevin Gimpel and Piyush Sharma and Radu Soricut},
publisher={International Conference on Learning Representations} journal={International Conference on Learning Representations},
year={2020}
} }
@inproceedings{Han2015LearningBW, @inproceedings{Han2015LearningBW,
...@@ -7780,7 +7781,7 @@ author = {Zhuang Liu and ...@@ -7780,7 +7781,7 @@ author = {Zhuang Liu and
Rupesh Kumar Srivastava and Rupesh Kumar Srivastava and
J{\"{u}}rgen Schmidhuber}, J{\"{u}}rgen Schmidhuber},
title = {Highway and Residual Networks learn Unrolled Iterative Estimation}, title = {Highway and Residual Networks learn Unrolled Iterative Estimation},
publisher = {International Conference on Learning Representations}, journal = {International Conference on Learning Representations},
year = {2017} year = {2017}
} }
...@@ -7823,7 +7824,7 @@ author = {Zhuang Liu and ...@@ -7823,7 +7824,7 @@ author = {Zhuang Liu and
Liwei Wang and Liwei Wang and
Tie-Yan Liu}, Tie-Yan Liu},
title = {On Layer Normalization in the Transformer Architecture}, title = {On Layer Normalization in the Transformer Architecture},
journal = {CoRR}, journal = {International Conference on Machine Learning},
volume = {abs/2002.04745}, volume = {abs/2002.04745},
year = {2020} year = {2020}
} }
...@@ -7897,7 +7898,7 @@ author = {Zhuang Liu and ...@@ -7897,7 +7898,7 @@ author = {Zhuang Liu and
@article{Wang2018MultilayerRF, @article{Wang2018MultilayerRF,
title={Multi-layer Representation Fusion for Neural Machine Translation}, title={Multi-layer Representation Fusion for Neural Machine Translation},
author={Qiang Wang and Fuxue Li and Tong Xiao and Yanyang Li and Yinqiao Li and Jingbo Zhu}, author={Qiang Wang and Fuxue Li and Tong Xiao and Yanyang Li and Yinqiao Li and Jingbo Zhu},
journal={ArXiv}, journal={International Conference on Computational Linguistics},
year={2018}, year={2018},
volume={abs/2002.06714} volume={abs/2002.06714}
} }
...@@ -8026,7 +8027,7 @@ author = {Zhuang Liu and ...@@ -8026,7 +8027,7 @@ author = {Zhuang Liu and
@inproceedings{Real2019AgingEF, @inproceedings{Real2019AgingEF,
title={Aging Evolution for Image Classifier Architecture Search}, title={Aging Evolution for Image Classifier Architecture Search},
author={E. Real and A. Aggarwal and Y. Huang and Quoc V. Le}, author={Esteban Real and Alok Aggarwal and Yanping Huang and Quoc V. Le },
booktitle={AAAI Conference on Artificial Intelligence}, booktitle={AAAI Conference on Artificial Intelligence},
year={2019} year={2019}
} }
...@@ -8070,7 +8071,7 @@ author = {Zhuang Liu and ...@@ -8070,7 +8071,7 @@ author = {Zhuang Liu and
} }
@inproceedings{DBLP:conf/ijcnn/Dodd90, @inproceedings{DBLP:conf/ijcnn/Dodd90,
author = {N. Dodd}, author = {Dodd Nigel},
title = {Optimisation of network structure using genetic techniques}, title = {Optimisation of network structure using genetic techniques},
publisher = {International Joint Conference on Neural Networks, San publisher = {International Joint Conference on Neural Networks, San
Diego, CA, USA, June 17-21, 1990}, Diego, CA, USA, June 17-21, 1990},
...@@ -9241,7 +9242,8 @@ author = {Zhuang Liu and ...@@ -9241,7 +9242,8 @@ author = {Zhuang Liu and
@article{Lan2020ALBERTAL, @article{Lan2020ALBERTAL,
title={ALBERT: A Lite BERT for Self-supervised Learning of Language Representations}, title={ALBERT: A Lite BERT for Self-supervised Learning of Language Representations},
author={Zhenzhong Lan and Mingda Chen and Sebastian Goodman and Kevin Gimpel and Piyush Sharma and Radu Soricut}, author={Zhenzhong Lan and Mingda Chen and Sebastian Goodman and Kevin Gimpel and Piyush Sharma and Radu Soricut},
publisher={International Conference on Learning Representations} journal={International Conference on Learning Representations},
year={2020}
} }
@inproceedings{DBLP:conf/naacl/HaoWYWZT19, @inproceedings{DBLP:conf/naacl/HaoWYWZT19,
......
Markdown 格式
0% 或
您添加了 0 人 到此讨论。请谨慎行事。
请先完成此评论的编辑！
请 注册 或者 后发表评论