合并分支 'master' 到 'mengxia'

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Book/Chapter1/Figures/figure-required-parts-of-MT.tex

@@ -15,7 +15,7 @@
 {
 \begin{scope}[yshift=-1.0in]
 \node [] (part1label) at (0,0) {\includegraphics[scale=0.10]{./Chapter1/Figures/figure-oil.jpg}};
-\node [anchor=north west] (part1text) at ([xshift=-1em,yshift=0.0em]part1label.south west) {\begin{tabular}{l}{\color{red}{资源}}：可以使机器翻译\\系统运行的"汽油"\end{tabular}};
+\node [anchor=north west] (part1text) at ([xshift=-1em,yshift=0.0em]part1label.south west) {\begin{tabular}{l}{\color{red}{资源}}：可以使机器翻译\\系统运行的``汽油''\end{tabular}};
 \end{scope}
 }
 

Book/Chapter1/Figures/figure-results-zh-to-en-news-field-translation.tex

@@ -17,13 +17,13 @@
 
 \node [anchor=south west, fill=blue!50, minimum width=1.1cm, minimum height=1.5cm] (mt1) at ([xshift=13.0em,yshift=-3.0em]mt.east) {{\color{white} {\small\sffamily\bfseries{机器}}}};
 \node [anchor=south west, fill=red!50, minimum width=1.1cm, minimum height=2.7cm] (human1) at ([xshift=0.5cm]mt1.south east) {{\color{white} {\small\sffamily\bfseries{人}}}};
-\node [anchor=south] (mtscore1) at (mt1.north) {47\%};
-\node [anchor=south] (humanscore1) at (human1.north) {100\%};
+\node [anchor=south] (mtscore1) at (mt1.north) {47};
+\node [anchor=south] (humanscore1) at (human1.north) {100};
 \draw [->,thick] ([xshift=-0.5cm]mt1.south west) -- ([xshift=0.5cm]human1.south east);
 \draw [->,thick] ([xshift=-0.5cm]mt1.south west) -- ([xshift=-0.5cm,yshift=3.2cm]mt1.south west);
 
-\node[anchor=south](footname1) at ([xshift=2.1em,yshift=-2.0em]mt.south){\footnotesize{人工评价(5分满)}};
-\node[anchor=south](footname2) at ([xshift=2.1em,yshift=-2.0em]mt1.south){\footnotesize{自动评价}};
+\node[anchor=south](footname1) at ([xshift=2.1em,yshift=-2.0em]mt.south){\footnotesize{人工评价（五分制）}};
+\node[anchor=south](footname2) at ([xshift=2.1em,yshift=-2.0em]mt1.south){\footnotesize{自动评价（百分制）}};
 \end{tikzpicture}
 
 }

Book/Chapter2/Figures/figure-MT=language-analysis+translation-engine.tex

@@ -63,7 +63,7 @@
 
 {
 \node [anchor=west] (mtinputlabel) at ([xshift=0.29in]inputlabel.east) {{\scriptsize \color{red}{\textbf{实际的输入}}}};
-\node [anchor=west] (mtoutputlabel) at ([xshift=0.86in]mtinputlabel.east) {{\scriptsize \color{red}{\textbf{实际的输出}}}};
+\node [anchor=west] (mtoutputlabel) at ([xshift=1.0in]mtinputlabel.east) {{\scriptsize \color{red}{\textbf{实际的输出}}}};
 \node[rectangle,draw=ublue, inner sep=0mm] [fit = (mtinputlabel) (mtoutputlabel) (inputmarking) (outputmarking)] {};
 }
 

Book/Chapter7/Chapter7.tex

@@ -17,13 +17,13 @@
 \renewcommand\tablename{表}% Table => 表
 \definecolor{ublue}{rgb}{0.152,0.250,0.545} % Color of deep blue
 \definecolor{ugreen}{rgb}{0,0.5,0} % Color of deep green
-\chapterimage{chapter_head_1} % Chapter heading image
+\chapterimage{fig-NEU-8.jpg} % Chapter heading image
 
 %----------------------------------------------------------------------------------------
 %    CHAPTER 7
 %----------------------------------------------------------------------------------------
 
-\chapter{神经机器翻译实战 \ \dash \ 参加一次比赛}
+\chapter{神经机器翻译实战}
 
 \parinterval 作为机器翻译的前沿方向，神经机器翻译方法是近些年来最受关注的热点之一。凭借其高品质的译文，神经机器翻译的身影在各种机器翻译比赛和产品中随处可见。第六章已经介绍了神经机器翻译的基础模型，包括：基于循环神经网络的翻译模型、基于Transformer的翻译模型、注意力机制等等。但是，简单使用这些模型和方法显然无法取得最好的结果。实际上，先进的系统往往依赖多种技术的综合运用，是一项庞大的系统工程。
 

Book/ChapterPreface/Figures/figure-preface.tex

@@ -84,7 +84,7 @@
 
 % section 7
 \node [secnode,anchor=south,purple,fill=white,minimum height=6.3em] (sec7) at ([yshift=3em]sec6.north) {};
-\node [anchor=north] (sec7label) at (sec7.north) {\small{神经机器翻译实战\ \dash \ 参加一次比赛}};
+\node [anchor=north] (sec7label) at (sec7.north) {\small{神经机器翻译实战}};
 \node [anchor=north west,draw=purple,thick,fill=white,rounded corners] (sec7title) at ([xshift=-0.3em,yshift=0.3em]sec7.north west) {{\footnotesize\bfnew{\color{purple} 第七章}}};
 \node [conceptnode,minimum width=4em,anchor=south west,fill=ublue!15,thin,align=left,minimum height=4.2em] (sec7box1) at ([xshift=0.5em,yshift=0.4em]sec7.south west) {\tiny{数据处理、}\\\tiny{子词切分}};
 

Book/mt-book-xelatex.tex

@@ -87,6 +87,8 @@
 
 \noindent \textsc{东北大学自然语言处理实验室\ $\cdot$\ 小牛翻译}\\
 
+\noindent 顾问：姚天顺\ \ 王宝库\\
+
 \noindent \textsc{\url{https://opensource.niutrans.com/mtbook/index.html}}\\
 \noindent \textsc{\url{https://github.com/NiuTrans/MTBook}}\\
 
@@ -103,9 +105,9 @@
 \thispagestyle{empty}
 
 {\large
-\noindent {\color{red} 在此感谢所有为本书做出贡献的人} \\
+\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、张裕浩、李炎洋、林野、陈贺轩、刘晓倩、牛蕊、田丰宁、杜权、张春良、王会珍、张俐、杨木润、宁义明、李洋、秦浩 \\
+\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、张裕浩、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、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 \\
 }
 
 %----------------------------------------------------------------------------------------

Book/run.sh

+xelatex mt-book-xelatex
+biber mt-book-xelatex
+makeindex mt-book-xelatex
+xelatex mt-book-xelatex

Book/structure.tex

@@ -273,10 +273,10 @@
 \newtheorem{problem}{Problem}[chapter]
 \newtheorem{exerciseT}{Example}[chapter]
 \theoremstyle{blacknumex}
-\newtheorem{exampleT}{Example}[chapter]
+\newtheorem{exampleT}{实例}[chapter]
 \theoremstyle{blacknumbox}
 \newtheorem{vocabulary}{Vocabulary}[chapter]
-\newtheorem{definitionT}{Definition}[section]
+\newtheorem{definitionT}{定义}[section]
 \newtheorem{corollaryT}[dummy]{Corollary}
 \theoremstyle{ocrenum}
 \newtheorem{proposition}[dummy]{Proposition}