[PDF] Top 20 A novel dependency to string model for statistical machine translation

... improve translation quality. However, previous works on dependency structure based models typi- cally resort to insertion operations to complete translations, which make it difficult to spec- ify ordering ... See full document

... a novel dependency- based BTG (DepBTG) for SMT, which represents translation in the form of dependency ...target dependency struc- ...target dependency tree, which gives us ... See full document

... BTG model using the processed corpus, we compare our method to another BTG model trained only with the original corpus (simply re- ferred to as the BTG ...tree-to-string model and HIERO using ... See full document

... MT model based on the learned dependency parser in Step ...tree-to-string model, which has been successfully employed in our previous work for system com- bination (Watanabe and Sumita, 2011) ... See full document

... utilizing dependency trees in ma- chine translation is not ...projective dependency trees. Xie et al. (2011) present a dependency-to-string model that extracts head-dependent ... See full document

... Contiguous phrase-based reordering models are designed to reorder contiguous phrases. In such type of reordering models, a contiguous phrase is reordered as a unit and the movements of phrase don’t involve insertions ... See full document

... The goal of the training algorithm is to learn the feature weights from the word aligned corpus. For word-alignment, we used the IBM Model 5 imple- mented in GIZA++ along with the growing heuris- tics (Koehn et ... See full document

... for string based approaches than for approaches that require syntactic ...this model by allowing cloning operations on subtrees, Gildea (2003) found that parallel trees over-constrained the alignment ... See full document

... Syntax-based machine translation is well known for its ability to handle non-local ...called string-to-tree systems, achieve the best per- formance on several language pairs (Bojar et ...the ... See full document

... the model with only EP and E O V features also delivers very good results, which indicates the effectiveness of the MRS features from the deep hand-crafted gram- ...the dependency parsing) drops the results ... See full document

... during translation. First, the reordering model suit- able for F2S translation should allow for trans- lation of all meanings present in the ...reordering model should restrict itself to fea- ... See full document

... for statistical machine transla- ...a dependency tree by labelling edges. We build our translation model in the log-linear framework with stan- dard ...our model is significantly ... See full document

... chine translation method from string to ...the dependency structure of the target language to use transfer rules while generating a ...the translation scheme to perform different concatena- ... See full document

... a statistical translation model based on tree-to-string alignment template which describes the alignment between a source parse tree and a target ...The model is linguistically ... See full document

... Chinese-to-English translation, we use the parallel data from NIST Open Machine Translation Evaluation ...tri-gram dependency LM on the English dependency structures of the training ... See full document

... language model on the Xinhua portion of GIGAWORD corpus using the SRI Language Modeling Toolkit (Stolcke, 2002) with modi- fied Kneser-Ney smoothing (Kneser and Ney, ...the translation quality using ... See full document

... to model syntactic and morpho- logical structure jointly in a dependency translation model, allowing the system to generalize to the level of ...a dependency representation of German ... See full document

... a novel Sequence-to-Dependency Neural Machine Translation (SD-NMT) model in our ...SD-NMT model encodes source in- puts with bi-directional RNNs and associates them with target ... See full document

... the string-to- dependency system achieved ...hierarchical string- to-string ...filtered model does not show im- provement on BLEU. The filtered string-to-string rules can ... See full document

... high translation quality, it still lacks of generaliza- tion ability to capture word order differences between ...English-Vietnamese translation showed a significant improvement over two baseline ... See full document