[PDF] Top 20 Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
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Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
... of translation hypotheses starting from different initial ...of translation hy- ...the random restart points, is selected as the optimum for the current set of hy- ... See full document
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Lattice based Minimum Error Rate Training for Statistical Machine Translation
... Minimum Error Rate Training (MERT) is an effective means to estimate the feature func- tion weights of a linear model such that an automated evaluation criterion for measuring system ... See full document
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Transductive Minimum Error Rate Training for Statistical Machine Translation
... the previous works of transductive learning(Liu et al., 2010; Chan and Ng, 2007), the unlabeled da- ta can be used to improve the model training so as to tackle the bias-estimation problem. Under such framework, ... See full document
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Modeling Letter to Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training
... Intuitively, the performance of the system can be improved in at least two areas. First is the Minimum Error Rate Training (MERT) and the second is the decoding phase. Using phonetic feature ... See full document
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Minimum Error Rate Training in Statistical Machine Translation
... the minimum Bayes risk approach, in which an optimal decision rule with respect to an application specific risk/loss function is used, which will normally differ from ...the training criterion and the ... See full document
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Phrase Training Based Adaptation for Statistical Machine Translation
... 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 implements ... See full document
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Direct Error Rate Minimization for Statistical Machine Translation
... Minimum error rate training is often the pre- ferred method for optimizing parameters of statistical machine translation ...minimizes error rate by using a ... See full document
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Minimum Error Rate Training by Sampling the Translation Lattice
... in Statistical Machine Translation systems based on log-linear ...existing translation lattice in order to progres- sively expand the translation pool that shapes the optimization ... See full document
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Efficient Minimum Error Rate Training and Minimum Bayes Risk Decoding for Translation Hypergraphs and Lattices
... Statistical Machine Translation (SMT) systems have improved considerably by directly using the error criterion in both training and ...the translation task instead of a criterion ... See full document
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Locally Training the Log Linear Model for SMT
... 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
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Minimum Imputed Risk: Unsupervised Discriminative Training for Machine Translation
... discriminative training step in the development of large MT sys- tems — learning the log-linear combination of sev- eral component model scores (viewed as features) to optimize a performance metric ...tive ... See full document
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Minimum Risk Training for Neural Machine Translation
... 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
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Optimal Search for Minimum Error Rate Training
... 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
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Feasibility of Human in the loop Minimum Error Rate Training
... 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
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Constrained Grammatical Error Correction using Statistical Machine Translation
... Their training data consists of a large corpus of sentences extracted from news articles which were deliberately modified to include typical countabil- ity errors involving the target words as observed in a ... See full document
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Training a Statistical Machine Translation System without GIZA++
... the training, development, and test data as shown in Table ...the translation of instruction manuals for technical ...of machine translation ...the translation quality, therefore we ... See full document
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A Systematic Comparison of Training Criteria for Statistical Machine Translation
... of training the free parameters of a statistical machine transla- tion ...state-of-the-art minimum er- ror rate training baseline on a large Chinese- English translation ... See full document
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Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
... In this study, we use a discriminative reranking algo- rithm using perceptron which successfully exploits syntactic features for N-best reranking for common translation tasks (Carter and Monz, 2011). Figure 2 ... See full document
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Error Detection for Statistical Machine Translation Using Linguistic Features
... Automatic error detection is desired in the post-processing to improve machine translation ...side machine translation systems, into er- ror detection: lexical and syntactic fea- ... See full document
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Maximum Expected BLEU Training of Phrase and Lexicon Translation Models
... More closely related to our work, Liang et al. (2006) proposed a large set of lexical and Part-of- Speech features in addition to the phrase translation model. Weights of these features are trained using ... See full document
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