[PDF] Top 20 Combining Multiple Alignments to Improve Machine Translation

... different alignments frequently have a higher confidence than those that occur less ...three alignments in Figure 1 using the grow-diag-final-rank ... See full document

... gual machine translation (Quirk et ...a translation model and a lan- guage model. The translation model can be trained using monolingual parallel ... See full document

... One simple, but very effective method of alignment combination is a heuristic procedure, which merges the alignments produced by two or more word aligners and filters out the links that are likely to be wrong. For ... See full document

... plicated translation pairs between ...all translation pairs, which guarantees that these sentence-level translation pairs are inde- pendently sampled from the original ...for combining trans- ... See full document

... All tree-based alignments can be computed with a very high accuracy. However, due to the nature of statistical word alignment, the same does not hold for the alignment obtained from the SMT systems. If the ... See full document

... of translation memory software, translation companies and freelance translators have been accumulating translated text for various languages and ...domain-specific machine translation systems ... See full document

... improving machine transla- tion ...word alignments to improve machine translation perfor- ...thereby machine transla- tion) by using a larger corpus of sentence aligned data for ... See full document

... System architecture, experimental setting and evaluation results of EIWA are described. We are in the middle position in human and automatic evaluation. One of the future issues is to improve parsing accuracy in ... See full document

... the translation model by fixing a lan- guage model for all the ...for machine translation can be im- proved further by combining orthogonal techniques for translation model adaptation ... See full document

... statistical machine translation (Knight, 1999; Udupa and Maji, 2006), it is natural to ask why the universal recognition problem of (2,2)- BRCGs isn’t NP-hard? How can (2,2)-BRCGs in- duce all possible ... See full document

... to improve the agreement between the automatically generated parse trees and word alignments that are used as training data for syntactic machine translation sys- ...to improve ... See full document

... to improve the coverage of our low re- source translation models, we use bilingual lexi- con induction techniques to learn translations for words which appear in our test sets but not in our training data ... See full document

... provides translation by adapting examples with no calculations of extensive chain of ...of translation is less than the computation cost of ...to improve simply by entering suitable examples into ... See full document

... For selecting the best skeleton, two common methods are choosing the hypothesis with the Min- imum Bayes Risk with translation error rate (TER) (Snover et al., 2006) (i.e., the hypothesis with the minimum TER ... See full document

... A less explored branch that can help aligning rare words is adding semantic information. The motivation behind this branch is simple: Words with similar meanings should have similar trans- lations. Previously, Ma et al. ... See full document

... System combination has been successfully ap- plied in state-of-the-art speech recognition evalua- tion systems for several years (Fiscus, 1997). Even though the underlying modeling techniques are sim- ilar, many systems ... See full document

... This paper focuses on step 1, in which the orig- inal English parse trees are transformed by one or more relabeling strategies. Step 2 involves extract- ing minimal xRS rules (Galley et al., 2004) from the set of ... See full document

... word alignments with phrase structure trees for syntactic MT, we have proposed an HMM-like model whose distortion is sensitive to such ...final translation accu- racy, it is reasonable to hope that, all ... See full document

... In this paper, we addressed the task of au- tomatically generating symmetric word align- ments for statistical machine translation. We exploited the state occupation probabilties de- rived from the IBM and ... See full document

... and multiple string ...obtain multiple string alignment methods (Gusfield, 1997, 343-344). In multiple string alignment all strings are aligned and com- pared at the same time, making it a good ... See full document