[PDF] Top 20 Minimum Error Rate Training in Statistical Machine Translation
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Minimum Error Rate Training in Statistical Machine Translation
... the training procedure for statisti- cal machine translation models is based on maximum likelihood or related ...final translation quality on unseen ...various training criteria which ... 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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Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
... We believe that our results show very convinc- ingly that using random restarts in MERT im- proves the B LEU scores produced by the result- ing models. They also seem to show that starting point selection by random walk ... 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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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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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
... Minimum Error Rate Training is the algo- rithm for log-linear model parameter train- ing most used in state-of-the-art Statistical Machine Translation ...entire ... 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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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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A Systematic Comparison of Training Criteria for Statistical Machine Translation
... correct translation might not be among the can- didates that our MT system ...the minimum word-error rate as pseudo reference ...word-error rate. Here, we will use the ... See full document
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Minimum Risk Training for Neural Machine Translation
... neural machine transla- tion (NMT) (Kalchbrenner and Blunsom, 2013; Sutskever et ...for machine translation, NMT aims at training a single, large neural network that directly transforms 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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Error Analysis of Statistical Machine Translation Output
... 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
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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
... sufficient training sam- ples where these words remained unaltered on the source and target side, so we decided to augment the NUCLE corpus by adding a copy of all the corrected versions of the sentences on both ... See full document
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Minimum Bayes Risk Decoding for Statistical Machine Translation
... 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
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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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Factored Statistical Machine Translation for Grammatical Error Correction
... 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 met ... 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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