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EMNLP
2010
15 years 2 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
CICLING
2010
Springer
15 years 6 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
MODELS
2010
Springer
15 years 2 months ago
Capturing the Intention of Model Changes
Abstract. Model differences calculated by differencing algorithms contain the atomic changes made to a model. However, they do not capture the user’s intention of the modifica...
Patrick Könemann
UML
2005
Springer
15 years 9 months ago
Ontology-Based Model Transformation
Today, model-driven development is getting more sophisticated and can be used for modeling enterprises and developing application systems. Since current interoperability solutions ...
Stephan Roser, Bernhard Bauer
EACL
2006
ACL Anthology
15 years 5 months ago
Latent Variable Models for Semantic Orientations of Phrases
We propose models for semantic orientations of phrases as well as classification methods based on the models. Although each phrase consists of multiple words, the semantic orienta...
Hiroya Takamura, Takashi Inui, Manabu Okumura