[PDF] Top 20 Discriminative Reranking for Machine Translation
Has 10000 "Discriminative Reranking for Machine Translation" found on our website. Below are the top 20 most common "Discriminative Reranking for Machine Translation".
Discriminative Reranking for Machine Translation
... The translation model involved tree align- ments in which subtree cloning was used to handle cases of reordering that were not possible in earlier tree-based alignment ... See full document
8
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
... chine translation (SMT) have been proposed in recent ...a reranking approach for grammatical error ...our reranking system us- ing parts of speech and syntactic features im- proves performance and ... See full document
6
Hidden Variable Models for Discriminative Reranking
... baseline. Reranking approaches have given improvements in accuracy on a number of NLP problems including parsing (Collins, 2000; Charniak and Johnson, 2005), machine translation (Och and Ney, 2002; ... See full document
8
Discriminative Reranking for Natural Language Parsing
... the reranking task, based on the boosting approach to ranking problems described in Freund et ...recognition, machine translation, or natural language ... See full document
46
Adapting Discriminative Reranking to Grounded Language Learning
... Discriminative reranking is a common machine learning technique to improve the output of gen- erative ...2002c). machine translation (Shen et ...apply discriminative ... See full document
10
Low Dimensional Discriminative Reranking
... literature, discriminative reranking has been well explored for parsing (Collins and Koo, 2005; Charniak and Johnson, 2005; Shen and Joshi, 2003; McDonald et ...statistical machine translation ... See full document
11
Concept to text Generation via Discriminative Reranking
... In machine translation, a decoder that implements for- est rescoring (Huang and Chiang, 2007) uses the lan- guage model as an external criterion of the good- ness of sub-translations on account of their ... See full document
10
A Discriminative Latent Variable Model for Statistical Machine Translation
... Past work on discriminative SMT only address some of these problems. To our knowledge no sys- tems directly address Problem 1, instead choosing to ignore the problem by using one or a small handful of reference ... See full document
9
Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation
... We present a global log-linear model for synchronous grammar induction, which is capable of incorporating arbitrary features. The parameters in the model are trained in an unsuper- vised fashion from parallel sentences ... See full document
16
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
... baseline translation model features, one word-insertion penalty (WP) feature, and five arity features — three to count how many rules with an arity of zero/one/two are used in a derivation, and two to count how ... See full document
9
A Discriminative Approach for Dependency Based Statistical Machine Translation
... for Machine Translation (MT) have gained popularity in recent times be- cause of their ability to handle long distance re- orderings (Wu, 1997; Yamada and Knight, 2002; Quirk et ... See full document
9
Inducing a Discriminative Parser to Optimize Machine Translation Reordering
... on discriminative learning with latent variables (Yu and Joachims, 2009), and break ties within the pool of oracle derivations by se- lecting the derivation with the largest model ... See full document
11
A Discriminative Syntactic Word Order Model for Machine Translation
... treelet translation model with other feature functions — a target language model, a tree order model, lexical weighting features to smooth the translation prob- abilities, word count feature, and ... See full document
8
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
... list reranking using neural MT models. However, reranking using n-best lists (like other search methods for MT) is an approx- imate search method, and its effectiveness is lim- ited by the size of the ... See full document
7
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... statistical machine translation of natural languages based on direct maximum entropy mod- els, which contains the widely used sour- ce-channel approach as a special ...baseline machine ... See full document
8
Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation
... reverse translation systems, one with a lan- guage model trained on the Chinese side of the bi- text (“WLM”), and the other one without using such a Chinese LM ... See full document
10
Discriminative Language Models as a Tool for Machine Translation Error Analysis
... We show translation accuracies of each system before and after training in Table 4. From this table, we can see that the LM increases the accuracy of all dev data, but it does not necessarily have a large effect ... See full document
9
Discriminative Feature Tied Mixture Modeling for Statistical Machine Translation
... Significant progress has been made in statisti- cal machine translation (SMT) in recent years. Among all the proposed approaches, the phrase- based method (Koehn et al., 2003) has become the widely adopted ... See full document
5
Target Side Context for Discriminative Models in Statistical Machine Translation
... Discriminative translation models utiliz- ing source context have been shown to help statistical machine translation perfor- ...in translation qual- ity on four language ... See full document
11
L1 Regularized Regression for Reranking and System Combination in Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexan- dra Constantin, and Evan ... See full document
8
Related subjects