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» Large Language Models in Machine Translation
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EMNLP
2008
15 years 1 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
ACL
2012
13 years 2 months ago
A Ranking-based Approach to Word Reordering for Statistical Machine Translation
Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...
Nan Yang, Mu Li, Dongdong Zhang, Nenghai Yu
CSL
2004
Springer
14 years 11 months ago
Contemporaneous text as side-information in statistical language modeling
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Sanjeev Khudanpur, Woosung Kim
LREC
2008
114views Education» more  LREC 2008»
15 years 1 months ago
Improving Statistical Machine Translation Efficiency by Triangulation
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
Yu Chen, Andreas Eisele, Martin Kay
NLPRS
2001
Springer
15 years 4 months ago
Korean to English TV Caption Translator: ""CaptionEye/KE""
In this paper, we present CaptionEye/KE, a Korean to English machine translation system that is applied to a practical TV caption translation. And its experimental evaluation is p...
Seong-il Yang, Young Kil Kim, Young Ae Seo, Sung-K...