[PDF] Top 20 A Discriminative Latent Variable Model for Statistical Machine Translation

... ing discriminative models require a reference deriva- tion to optimise against, however no parallel cor- pora annotated for derivations ...a model would account for this ambiguity by marginalising out the ... See full document

... 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

... There is a fairly large body of work on SMT adaptation. We introduce several new ideas. First, we aim to explicitly characterize examples from OUT as belonging to general language or not. Pre- vious approaches have tried ... See full document

... segmentation model for the phrase-based translation, even though the system could not achieve the upper bound shown in Table ...linguistically-motivated model of Korean phrase segmentation for ... See full document

... tween the results of baseline and reranking using our features was statistically significant (p < 0.01). Be- cause a large N-gram language model was adopted for reranking, recall increased considerably but pre- ... See full document

... to model the in- teraction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable ...This latent variable can be ... See full document

... transliteration. Discriminative training is used in our system and numbers of new features are defined in the training ...based statistical translation model is configured to have maximum ... See full document

... global discriminative statistical word order model for machine ...Our model combines syntactic movement and surface movement information, and is discriminatively trained to choose among ... See full document

... and quantifiers, instead providing a single under- specified representation from which the complete set of readings can be constructed. Here we will present only basic definitions from (Copestake et al., 2005). For more ... See full document

... a discriminative model for WSD using local but also across-sentence un- igram collocations of words in order to refine phrase pair selection dynamically by incorporat- ing scores from the WSD ...in ... See full document

... syntax model as it did not use a ...a statistical parser trained using a Treebank in the source language to produce parse trees and proposed a tree to string model for ...alignment model us- ... See full document

... trained translation models and language models by explicitly down-weighting translations that exhibit certain undesired ...for discriminative models have been presented (see Section 2), however, with a few ... See full document

... Large-scale 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 ... See full document

... a discriminative model to maximize reordering accuracy while treating the parse tree as a latent ...the model to directly minimize two measures of reordering ...proposed model improves ... See full document

... view discriminative rerank- ing as a simplification of the global model we discussed, in that it restricts the number of candidate global transla- tions to make the computation more ... See full document

... lead to the target gold prediction for the source node. In such cases where the gold transforma- tion is unreachable, the weights are not updated at all for the source node as it might cause erro- neous weight updates. ... See full document

... log-linear model of the de- ...a discriminative lexicon with a rich feature set tailored to translation into mor- phologically rich languages; unlike our work, their model only used ... See full document

... reference translation for each ...language model is trained from the En- glish Gigaword corpus and the English portion of the parallel corpus used in the translation model train- ...mixture ... See full document

... A potential downside of this approach reveals it- self when there is redundancy in the candidate pool. Since the batch is selected in a single atomic opera- tion from the sorted candidates, and because similar or ... See full document

... reordering model by introducing syntactic ...the translation process was modeled based on specific syntactic structures, either phrase structures or dependency ...phrase translation combina- tion ... See full document