[PDF] Top 20 Two Improvements to Left to Right Decoding for Hierarchical Phrase based Machine Translation

... The language model (LM) score violates the hypotheses generation assumption of CP and can cause search errors. In Figure 1, the topmost and leftmost entry of the right cube has a score worse than many hypotheses ... See full document

... new decoding algorithm is of interest for a few ...with phrase-based translation systems, the method could potentially be extended to neural translation, for example with an ... See full document

... a phrase orientation model is to assess the adequacy of phrase reordering dur- ing ...standard phrase-based translation with continuous phrases only and left-to-right hy- ... See full document

... a machine learning perspective, yet still captures prominent and long-distance reordering patterns ob- served in Chinese–English (Wang et ...for phrase-based translation and Xiong et ... See full document

... the left of the grid we have four rules with the same French side, and above we have three items with the same category and span, that is, they belong to the same chart ...and two dimensions for two ... See full document

... Hiero translation model (Chiang, 2005) re- sulting in much faster decoding and restricting reordering to a desired level for specific lan- guage ...novel improvements to the translation model ... See full document

... be two drawbacks: First, the reliability and the amount of parallel sentences may differ between the human- generated and the unsupervised part of the training ...the two corpora in order to be able to dis- ... See full document

... for two out of three cor- ...to improvements due to the se- mantic LM in all our experiments, which is reason- able because the model specifically targets content words, which benefit from the information ... See full document

... Hierarchical phrase-based models pro- vide a powerful mechanism to capture non-local phrase reorderings for statis- tical machine translation ...many phrase reorderings ... See full document

... cal phrase-based translation to constrain word or- ...in phrase-based translation. To integrate the word-based reorder- ing model, we added a reordered source string into ... See full document

... Single-Word Based Systems (SWB). First, there is a monotone search variant (Mon) that translates each word of the source sentence from left to right. The second vari- ant allows reordering according ... See full document

... Phrase-based machine translation handles reorder- ing between source and target languages by visit- ing phrases in the source in arbitrary order while generating the target from left to ... See full document

... a phrase-based model during ...monotone decoding in which phrase trans- lation pairs are simply combined ...many phrase- based models (Koehn et ...the phrase pair ...where ... See full document

... on translation modeling, mixed methods have been investigat- ed for domain adaptation in SMT by adding do- main information as additional labels to the orig- inal phrase table (Foster and Kuhn, ...the ... See full document

... plified left-to-right language model scoring. It means LR decoding has the potential to replace CKY decoding for ...LR decoding algorithm does not obtain BLEU scores comparable to ... See full document

... erarchical phrase-based steam decoder. The stan- dard hierarchical phrase-based decoding process generates from the source in left-to-right order, making it ... See full document

... Although we used the Europarl corpus for con- trolled experiments, we intend to use the pivot strate- gies in situations where very limited amount of par- allel corpora are available for a source and target lan- guage ... See full document

... present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased effi- ciency of decoding by ... See full document

... a phrase pair is extracted from a sentence pair during the training ...source phrase in the rule, we add it to ...source phrase, we will ignore it because it holds less syntactic information beyond ... See full document

... However, both Model-III + and Distinguishing Model are worse than Koehn-10 at some high fuzzy match intervals. The reason is that the TM factors are trained on the news domain but the test set is from computer technical ... See full document