[PDF] Top 20 A Maximum Entropy/Minimum Divergence Translation Model
Has 10000 "A Maximum Entropy/Minimum Divergence Translation Model" found on our website. Below are the top 20 most common "A Maximum Entropy/Minimum Divergence Translation Model".
A Maximum Entropy/Minimum Divergence Translation Model
... test corpus perplexity... test corpus perplexity.[r] ... See full document
8
Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model
... In Proceedings of the 36th Annual Meeting of the Association ]or Computa- tional Linguistics ACL and 17th International Conference on Computational Linguistics COL- ING 1998, pages 960-9[r] ... See full document
6
A Maximum Entropy Word Aligner for Arabic English Machine Translation
... . This penalty controls the fertility of the Arabic words. To determine the English words that aligned to the Arabic position, the search path is traced back for each hypothe- sis and a sufficiently large beam is ... See full document
8
Maximum entropy model for business cycle synchronization
... shows minimum, lower quartile, median (red line), upper quartile, and maximum, as well as some outliers (red pluses); black stars represent the mean ... See full document
13
Using a maximum entropy model to build segmentation lattices for MT
... a maximum entropy word segmentation model that is trained to assign high probability to possibly several segmentations of an input ...This model enables generation of di- verse, accurate ... See full document
9
Direct Translation Model 2
... a maximum entropy ma- chine translation system using a minimal set of translation blocks ...tistical translation models, they 1) use a large inventory of blocks which have significant ... See full document
8
Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation
... (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorder- ...the maximum entropy (MaxEnt) model to help the HPB decoder select appropriate re- ... See full document
9
Novel Document Level Features for Statistical Machine Translation
... ments, maximum entropy, GIZA++ and HMM alignment, are used to generate phrase pairs as the prior model in ...prior model, sentence and docu- ment level features, LM, and other components are ... See full document
5
Robust Detection Method of Arrival Time Difference Under Minimum Maximum Entropy Criterion
... under minimum mean square error criterion have good estimation performance, and also have advantageous for the theoretical ...the minimum mean square error criterion designing adaptive time difference ... See full document
5
Automatic Image Annotation Using Maximum Entropy Model
... the model is a little simple and the rough fixed-size blocks are unable to model objects effectively, leading to poor annotation ...hierarchical model via EM algorithm. This model combines ... See full document
12
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... use maximum entropy (ME) model algo- rithm to estimate their reordering probabilities sep- arately, where the boundary words of foreign phrases and candidate target translation phrases, POS ... See full document
8
Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach
... the maximum en- tropy ...direct translation models instead of those proposed in (Brown et ...a maximum entropy translation ...the maximum entropy approach is outlined in ... See full document
8
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... To train the model parameters λ M 1 of the direct trans- lation model according to Eq. 11, we use the GIS (Generalized Iterative Scaling) algorithm (Darroch and Ratcliff, 1972). It should be noted that, as ... See full document
8
Maximum Entropy Model Learning of the Translation Rules
... We have described an approach to learn the translation rules from parallel corpora based on the maximum entropy method.. As feature functions, we have defined two models, one with co-occ[r] ... See full document
5
A Comparison of Criteria for Maximum Entropy/ Minimum Divergence Feature Selection
... The work described in 3], for instance, incorporates every feature which either appears with above-threshold count in a training cor- pus, or which exhibits high mutual information.. In [r] ... See full document
11
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... reordering model in the sys- tem trained on large bitexts, we remove colloca- tion features and only use lexical features from the last words of blocks (similar to those from the first words of blocks with similar ... See full document
8
Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation
... novel maximum en- tropy based rule selection (MERS) model for syntax-based statistical machine transla- tion ...MERS model combines lo- cal contextual information around rules and information of ... See full document
9
Maximum Entropy Model Learning of the Translation Rules
... Maximum Entropy Model Learning of the Translation Rules M a x i m u m E n t r o p y M o d e l Learning o f t h e T r a n s l a t i o n R u l e s K e n g o S a t o and M a s a k a z u N a k a n i s h i[.] ... See full document
5
Maximum Entropy Translation Model in Dependency Based MT Framework
... Maximum Entropy Principle has been used successfully in various NLP ...tion model consisting of a set of maxi- mum entropy classifiers: a separate clas- sifier is trained for each ... See full document
6
Maximum Entropy Based Lexical Reordering Model for Hierarchical Phrase-based Machine Translation
... Various methods have been proposed in order to solve the reordering problem for HPB model. Some of them focus on the sentence rewriting in the preprocessing stage (Xia and McCord, 2004; Collins et al., 2005; Wang ... See full document
10
Related subjects