[PDF] Top 20 Machine Translation System Combination by Confusion Forest

... our confusion forest sys- tem combination using an in-house developed hypergraph-based toolkit cicada which is motivated by generic weighted logic programming (Lopez, 2009), originally developed for ... See full document

... based machine translation (TRegMT) is both reducing the computational burden of the regression approach by reducing the dimension- ality of the training set and the feature set and also improving the ... See full document

... UPC-TALP system outperforms the SAMT by 10%, while the WER improvement hardly achieves a 2% ...-gram system deals worse with long-distance reordering because it attempts to use shorter ... See full document

... the system combina- tion task of the sixth workshop on statistical machine translation (WMT ...linear combination of the component systems’ prob- ability distributions to search for the ... See full document

... a translation generated by the lattice-based system, N arc is the number of arcs the path of e covers, N s is the number of candidate systems and λ s is the weight of system s ... See full document

... the translation, which potentially introduces translation mistakes due to parsing errors (Quirk and Corston-Oliver, ...SMT, forest-based methods have employed a packed forest to address this ... See full document

... single system scores on all ...the combination optimized for the corre- sponding ...timized combination has significantly higher BLEU score than the TER optimized ...baseline system which is ... See full document

... dependency-based translation systems suffer from a major drawback: they only use 1-best dependency trees for rule extraction, dependency language model training, and decod- ing, which potentially introduces ... See full document

... the combination approaches yielded significantly better outputs than the in- dividual ...systems. System combination has also been explored in the MT field, especially with the emergence of various ... See full document

... make translation sys- tems perform better for resource-scarce domain- s when most training data comes from resource- rich domains, and ignore performance on a more generic domain without domain bias (Wang et ... See full document

... z Comparing Tables 3 and 4, we can see that the intersection word alignment-based expansion method improves the performance in all the dev and test sets for both tasks by 0.2-0.57 BLEU- score and the improvements are ... See full document

... a forest-to-string machine transla- tion system with a reordering ...parse forest, but, at the same time, takes into account only the parts of the input forest used by the current ... See full document

... the system to correctly translate names even when the name interpretation of an in-vocabulary word is absent from the training ...data. Confusion network decoding can recover from name classing errors by ... See full document

... Our proposed framework changes the hypothesis only locally. In the future, we plan to consider long-range information for better performance. Moreover, our system uses unselected hypotheses to decide which is the ... See full document

... One approach to system combination uses con- fusion networks (Rosti et al., 2008; Karakos et al., 2008). In the most common form, a skele- ton sentence is chosen from among the one-best system ... See full document

... black-box system combination strategy. Given sin- gle top-one translation outputs from multiple MT systems, their approach reconstructs a phrase lat- tice by aligning words from different MT hypothe- ... See full document

... the system generated by the boosting- based system ...phrase-based system, the Hiero system and the syntax-based system, ...boosting-based system combination seems to be ... See full document

... Neural machine translation (NMT) be- comes a new approach to machine trans- lation and generates much more fluen- t results compared to statistical machine translation ...in ... See full document

... 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, Alexandra Con- stantin, and Evan ... See full document

... on system combination most focus on combining translation outputs in Latin alphabet-based languages, in which sentences are already segmented into words sequences with white space before constructing ... See full document