[PDF] Top 20 Large scale Expected BLEU Training of Phrase based Reordering Models
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Large scale Expected BLEU Training of Phrase based Reordering Models
... Modeling reordering for phrase-based machine translation has been a long standing ...grammar- based translation models (Wu, 1997; Galley et ...2007), phrase- based ... See full document
11
Training MRF Based Phrase Translation Models using Gradient Ascent
... generative models, it is not always ap- propriate to train the parameters using convention- al likelihood based approaches mainly for two rea- ...a large-scale dis- criminative training ... See full document
10
A Tagging style Reordering Model for Phrase based SMT
... system, reordering is still a major problem for language pairs like Chinese-English, where the source and target language have significant word order ...tagging-style reordering model. Our model converts ... See full document
10
Hierarchical MT Training using Max Violation Perceptron
... discriminative training has be- come promising for statistical machine translation by leveraging the huge train- ing corpus; for example the recent effort in phrase-based MT (Yu et ...However, ... See full document
6
A Neural Reordering Model for Phrase based Translation
... network training only has an indirect effect on translation ...Jointly training the machine translation system and neural classifier is an interesting ...efficient models to leverage larger contexts ... See full document
11
A Lexicalized Reordering Model for Hierarchical Phrase based Translation
... Lexicalized reordering model plays a central role in phrase-based statistical machine translation sys- ...The reordering model specifies the orientation for each phrase and calculates ... See full document
10
Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation
... Hierarchical phrase-based (HPB) translation provides a powerful mechanism to capture both short and long distance phrase reorder- ...the phrase reorderings lack of contextual information in ... See full document
9
Discriminative Phrase based Lexicalized Reordering Models using Weighted Reordering Graphs
... that phrase- based models do not perform as well, although the difference in BLEU is only ...a large percentage of translation units that are used during decoding is one-to-one, as it ... See full document
9
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models
... Network Training. All neural network models are trained on the news portion of the parallel data, corresponding to 136K sentences, which we found to be most useful in initial exper- ...As training ... See full document
7
Maximum Expected BLEU Training of Phrase and Lexicon Translation Models
... baseline phrase-based SMT system, we first perform word alignment on the training set using a hidden Markov model with lexicalized distortion (He 2007), then extract the phrase table from the ... See full document
10
A Comparison of Update Strategies for Large Scale Maximum Expected BLEU Training
... the training data. However, the weights are estimated based on a maximum entropy model and the underlying trans- lation paradigm differs from the standard phrase- based ...field models ... See full document
11
Syntactic Reordering Integrated with Phrase Based SMT
... that reordering often depends on higher level linguistic information, which is ab- sent from ...2007), reordering decisions are done “determinis- tically”, thus placing these decisions outside the actual ... See full document
8
The RWTH Aachen German English Machine Translation System for WMT 2015
... The WMT German→English Common Crawl cor- pora contains bilingual sentence pairs with non- German source or non-English target sentences. By using an ASCII filtering, we removed all sen- tences with more than 5% non-ASCII ... See full document
6
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... the reordering framework described above, we could try to directly predict the ex- ecutions as Miceli Barone and Attardi (2013) attempted with their version of the frame- ... See full document
11
Leave One Out Phrase Model Training for Large Scale Deployment
... the phrase table by force-aligning (FA) the training data with the reference trans- lation has been shown to improve the phrasal translation quality while significantly reduc- ing the phrase table ... See full document
8
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... their reordering probabilities sep- arately, where the boundary words of foreign phrases and candidate target translation phrases, POS information and dependencies are integrated as ... See full document
8
Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task
... indicators. Based on an analysis of the system combination outputs, a large number of bi-grams not present in any input hypothesis are often produced, some of which are clearly ungrammatical despite the ... See full document
7
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
... standard phrase-based statistical ma- chine ...local reordering models that emphasize the re- ordering of adjacent phrase pairs (Till- mann and Zhang, 2005), our model ex- plicitly ... See full document
8
Reordering Constraints for Phrase Based Statistical Machine Translation
... For the ITG constraints a dynamic program- ming search algorithm exists as described in the previous section. It would be more prac- tical with respect to language model recom- bination to have an algorithm that ... See full document
7
Monte Carlo inference and maximization for phrase based translation
... corpus BLEU) with systems tuned to maximise expected sentence-level ...risk training is beyond the scope of this paper, but these initial experiments should help emphasise the versa- tility of the ... See full document
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