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» Computational Complexity of Statistical Machine Translation
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CICLING
2010
Springer
15 years 5 months ago
Identification of Translationese: A Machine Learning Approach
This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in...
Iustina Ilisei, Diana Inkpen, Gloria Corpas Pastor...
ACL
2009
14 years 11 months ago
Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
We investigate the use of Fisher's exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In additio...
Mei Yang, Jing Zheng
ACL
2012
13 years 4 months ago
Deciphering Foreign Language by Combining Language Models and Context Vectors
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
Malte Nuhn, Arne Mauser, Hermann Ney
SIGIR
1998
ACM
15 years 5 months ago
Resolving Ambiguity for Cross-Language Retrieval
Abstract One of the main hurdles to improved CLIR effectiveness is resolving ambiguity associated with translation. Availability of resources is also a problem. First we present a ...
Lisa Ballesteros, W. Bruce Croft
COLING
2010
14 years 8 months ago
An Empirical Study of Translation Rule Extraction with Multiple Parsers
Translation rule extraction is an important issue in syntax-based Statistical Machine Translation (SMT). Recent studies show that rule coverage is one of the key factors affecting...
Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu