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clean up repo
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lmthang committed Dec 10, 2016
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2 changes: 1 addition & 1 deletion 1-intro.tex
Expand Up @@ -169,7 +169,7 @@ \section{Machine Translation}
quickly realized that word-based MT is insufficient as words
require context to properly translate, e.g., \word{bank} has two totally different
meanings when preceded by \word{financial} and \word{river}. As a result,
{\it phrase-based models}, \cite{Marcu:2002,Zens2002,Koehn:2003:SMT}, inter alia, became the de facto
{\it phrase-based models}, \cite{Marcu:2002,Koehn:2003:SMT}, inter alia, became the de facto
standard in MT research and are still the dominant approach in existing
commercial systems until recently.\footnote{However, the landscape is changing rapidly! As I am preparing this dissertation, there have been recent announcements from Google Translate \cite{gnmt16} in September 2016 and SYSTRAN \cite{systran16} in October 2016 on using Neural Machine Translation for their production systems.} Much credit went to Och's
work on {\it alignment templates}, starting with his thesis in 1998 and later in
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