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» Predicting Success in Machine Translation
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EMNLP
2008
13 years 6 months ago
Predicting Success in Machine Translation
The performance of machine translation systems varies greatly depending on the source and target languages involved. Determining the contribution of different characteristics of l...
Alexandra Birch, Miles Osborne, Philipp Koehn
CICLING
2010
Springer
13 years 9 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Marcin Junczys-Dowmunt
ACL
2010
13 years 2 months ago
Cross-Language Document Summarization Based on Machine Translation Quality Prediction
Cross-language document summarization is a task of producing a summary in one language for a document set in a different language. Existing methods simply use machine translation ...
Xiaojun Wan, Huiying Li, Jianguo Xiao
JMLR
2011
187views more  JMLR 2011»
12 years 11 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
ACL
2011
12 years 8 months ago
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Ann Clifton, Anoop Sarkar