[PDF] Top 20 Lattice based Minimum Error Rate Training for Statistical Machine Translation

... smoothed error surface over all sentence hypotheses that are represented in a phrase ...a statistical ma- chine translation system under the Minimum Error Rate Training ... See full document

... Each monomial term in the tropical polynomial shortest distance represents a linear function. The intersection points of these linear functions define intervals of γ (as in Fig. 1). This suggests an alter- nate ... See full document

... that translation which yields the largest score and therefore corre- sponds to the topmost line ...other translation hypotheses may at some point constitute the topmost line seg- ments and thus change the ... See full document

... In statistical machine translation, minimum error rate training (MERT) is a standard method for tuning a single weight with regard to a given development ...local ... See full document

... of translation options in order to construct the search graph is generally done from scratch, but this can be wasteful when the same sentences are translated multiple times, as it is the case with direct ... See full document

... the Minimum Error Rate Training (MERT) and the second is the decoding ...feature based edit distance or string similarity as the loss function in the MERT implementation can improve ... See full document

... Minimum error rate training is a crucial compo- nent to many state-of-the-art NLP applications, such as machine translation and speech recog- ...word error rate are ... See full document

... The baseline system is built using the open-source SMT toolkit Jane 2.0, which provides a state-of- the-art phrase-based SMT system (Wuebker et al., 2012a). In addition to the phrase based decoder, Jane 2.0 ... See full document

... the minimum risk train- ing algorithms in conventional statistical machine translation (Och, 2003; Smith and Eisner, 2006; He and Deng, ...smoothed error count to allow calculating ... See full document

... state-of-the-art machine translation (MT) systems over the past few years (Och and Ney, 2002; Koehn et ...candidate translation in the target ...didate translation, as scored by the different ... See full document

... related training and search proce- dures for NLP that explicitly take into consideration task- specific performance ...a training procedure that incorporates various MT evalua- tion criteria in the ... See full document

... phrase-based translation models, factored models make use of additional linguistic clues to guide the system such that it generates translated sentences in which morphological and syntactic constraints are ... See full document

... improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the basic unit of translation is the morpheme, but word ... See full document

... identical translation, we cannot use BLEU as the error criterion any ...other error criterions, such as reordering-based loss functions (Birch et ... See full document

... between translation quality and training time would be obtained by us- ing post-restart pruning, with 5 starting points per decoding iteration, cutting off training after 7 iter- ... See full document

... the training procedure for statisti- cal machine translation models is based on maximum likelihood or related ...final translation quality on unseen ...various training criteria ... See full document

... As shown in Algorithm 2, the T-MERT algo- rithm could be divided into two loops: in the out- er loop (outer-translation step), the test dataset is translated under current weight and new pseudo labeled test ... See full document

... Since its introduction, (Och, 2003) there has been various suggestions for optimizing the MERT cri- terion. Zens et al. (2007) use the MERT criterion to optimize the N-best lists using the Downhill Simplex Algorithm ... See full document

... automatic translation output is a difficult ...Word Error Rate, Position Independent Word Error Rate and the BLEU and NIST scores are widely use and provide a useful tool for comparing ... See full document

... phrase translation candidates at ...phrase translation from the ...phrase translation table that often grows almost linearly over the phrase length limit ... See full document