Sciweavers

85 search results - page 12 / 17
» Reordering Metrics for MT
Sort
View
LREC
2010
148views Education» more  LREC 2010»
14 years 11 months ago
Mining the Correlation between Human and Automatic Evaluation at Sentence Level
Automatic evaluation metrics are fast and cost-effective measurements of the quality of a Machine Translation (MT) system. However, as humans are the end-user of MT output, human ...
Yanli Sun
99
Voted
EMNLP
2009
14 years 7 months ago
Feasibility of Human-in-the-loop Minimum Error Rate Training
Minimum error rate training (MERT) involves choosing parameter values for a machine translation (MT) system that maximize performance on a tuning set as measured by an automatic e...
Omar Zaidan, Chris Callison-Burch
COLING
2008
14 years 11 months ago
Linguistically Annotated BTG for Statistical Machine Translation
Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into statistical machine translation (SMT). In this paper, we p...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li
47
Voted
ACL
2006
14 years 11 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
54
Voted
NAACL
2007
14 years 11 months ago
Generating Case Markers in Machine Translation
We study the use of rich syntax-based statistical models for generating grammatical case for the purpose of machine translation from a language which does not indicate case explic...
Kristina Toutanova, Hisami Suzuki