wording (sec 10, finished)

Chapter10/Figures/figure-beam-search-process.tex

@@ -147,7 +147,7 @@
 \draw [->] ([yshift=-1.6em,xshift=-0.4em]vocab.north east) .. controls +(east:1) and +(west:1) ..  ([xshift=0.1em,yshift=0.4em]vocabtopn.west) node [pos=0.3,below] (topnlabel) {\scriptsize{top-3}};
 
 {
-\node [anchor=north] (cap) at (vocab.south east) {\scriptsize{\textbf{束搜索($b=3$)}}};
+\node [anchor=north] (cap) at (vocab.south east) {\scriptsize{\textbf{束搜索($k=3$)}}};
 }
 }
 

bibliography.bib

@@ -1114,7 +1114,7 @@
                Andrew McCallum and
                Fernando C. N. Pereira},
   title     = {Conditional Random Fields: Probabilistic Models for Segmenting and
-               Labeling Sequence Data}, 
+               Labeling Sequence Data},
   pages     = {282--289},
   publisher = {proceedings of the Eighteenth International Conference on Machine
                Learning},
@@ -3891,13 +3891,13 @@
   pages     = {107--116},
   year      = {1998},
 }
-@article{BENGIO1994Learning, 
-author ={Y. {Bengio} and P. {Simard} and P. {Frasconi}}, 
-journal ={IEEE Transactions on Neural Networks}, 
-title ={Learning long-term dependencies with gradient descent is difficult}, 
-year ={1994}, 
+@article{BENGIO1994Learning,
+author ={Y. {Bengio} and P. {Simard} and P. {Frasconi}},
+journal ={IEEE Transactions on Neural Networks},
+title ={Learning long-term dependencies with gradient descent is difficult},
+year ={1994},
 volume ={5},
-number ={2}, 
+number ={2},
 pages ={157-166},
 }
 @inproceedings{NIPS2017_7181,
@@ -4411,6 +4411,14 @@ pages ={157-166},
     //publisher = "Association for Computational Linguistics",
     pages = "1317--1327",
 }
+@article{Akaike1969autoregressive,
+  author    = {Hirotugu Akaike},
+  title     = {Fitting autoregressive models for prediction},
+  journal   = {Annals of the institute of Statistical Mathematics},
+  volume    = {21(1)},
+  year      = {2015},
+  pages     = {243--247},
+}
 
 %%%%% chapter 10------------------------------------------------------
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%