[PDF] Top 20 Transductive Minimum Error Rate Training for Statistical Machine Translation
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Transductive Minimum Error Rate Training for Statistical Machine Translation
... of transductive learning is to use predicted labels from unlabeled data to improve learning ...our transductive MERT (T-MERT) works as follows: Firstly, the feature weight is estimated on the developmen- t ... 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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Modeling Letter to Phoneme Conversion as a Phrase Based Statistical Machine Translation Problem with Minimum Error Rate Training
... Letter-to-phoneme conversion plays an impor- tant role in several applications. It can be a dif- ficult task because the mapping from letters to phonemes can be many-to-many. We present a language independent ... 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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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
10
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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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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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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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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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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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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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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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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Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
... 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
8
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
10
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
9
Minimum Error Rate Training in Statistical Machine Translation
... evaluate machine translation quality by comparing hypothesis translations with reference ...word error rate, position-independent word error rate (Tillmann et ...word ... See full document
8
Error Detection for Statistical Machine Translation Using Linguistic Features
... Various features from different SMT models and system outputs are investigated (Blatz et al., 2003; Ueffing and Ney, 2007; Sanchis et al., 2007; Raybaud et al., 2009). Experimental results show that they are useful for ... See full document
8
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
... grammatical error correction of essays written by English as a Second Language (ESL) ...grammatical error correc- tion methods that use statistical machine translation (SMT) have been ... See full document
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