Loglinear model
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Publications (158)

1Additive Neural Networks for Statistical Machine Translationare modeled using a loglinear framework. Although the loglinear model achieves success in SMT, it still suffers from some...

2Dependency Based Chinese Sentence Realizationwith syntactic tags (White et al. 2007). The other is loglinear model with different syntactic and semantic features (Velldal...

3Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corporasentences in a foreign language as pivots. We propose a loglinear model to compute the paraphrase likelihood of two patterns...

4Predicting the Semantic Orientation of Adjectivesmethod Always predict same orientation But rule Loglinear model Morphology used? No Yes No Yes Accuracy on...

5Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?an information retrieval process implemented with a loglinear model aiming for a balanced precision and recall. We present...

6Correlating Human and Automatic Evaluation of a German Surface Realiser2009  Aoife Cahill(iii) the string chosen by the linguisticallyinspired loglinear model.1 We only take the data from 2 of those experiments...

7Prediction of Thematic Rank for Structured Semantic Role Labelingrelation restricting syntactic realization of arguments. A loglinear model is proposed to accurately identify thematic rank between...

8Computationally Efficient MEstimation of LogLinear Structure Modelscomputation of a partition function. More formally, a loglinear model for random variables X and Y over X,Y defines: pw(x...

9Incorporating Information Status into Generation Ranking2009  Aoife Cahill,Arndt Riesterfeatures, which can be automatically detected. We build a loglinear model that incorporates these asymmetries for ranking German...

10Minimum Error Rate Training in Statistical Machine Translation2003  Franz Josef Ochthe posterior probability Pr ' )( by using a loglinear model. In this framework, we have a set of feature functions...