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AMTA
2004
Springer
14 years 1 months ago
A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
Debbie Elliott, Anthony Hartley, Eric Atwell
CICLING
2010
Springer
13 years 10 months ago
Systematic Processing of Long Sentences in Rule Based Portuguese-Chinese Machine Translation
The translation quality and parsing efficiency are often disappointed when Rule based Machine Translation systems deal with long sentences. Due to the complicated syntactic structu...
Francisco Oliveira, Fai Wong, Iok-Sai Hong
LREC
2010
213views Education» more  LREC 2010»
13 years 9 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
COLING
2010
13 years 2 months ago
Semantic Role Features for Machine Translation
We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
Ding Liu, Daniel Gildea
EMNLP
2009
13 years 5 months ago
Unsupervised Tokenization for Machine Translation
Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not incorporate spacing in their writing system, which creat...
Tagyoung Chung, Daniel Gildea