[PDF] Top 20 Online Large Margin Training for Statistical Machine Translation
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Online Large Margin Training for Statistical Machine Translation
... a large number of features which, in turn, faced the labeling bias problem (Lafferty et ...an online discriminative ...their online training ap- proach is approximated by enlarging a merged k- ... See full document
10
Online Large Margin Training of Syntactic and Structural Translation Features
... Minimum-error-rate training (MERT) is a bot- tleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably opti- ...both ... See full document
10
Integrating a Large, Monolingual Corpus as Translation Memory into Statistical Machine Translation
... trained with SRILM (Stolcke, 2002) on the target side of the training data. The weights of the log- linear model were optimized with MIRA (Watan- abe et al., 2007) on a held-out development set re- served for this ... See full document
8
Large and Diverse Language Models for Statistical Machine Translation
... recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models ...of training data available for LM purposes and the desire to use high-order ... See full document
6
Large Scale Discriminative Training for Statistical Machine Translation Using Held Out Line Search
... following 8 dense features: LM, phrasal and lexi- cal p(e|f ) and p(f |e), phrase and word penalties, and glue rule. The total number of features is 2.2M (Mg-En), 28.8M (Ar-En), and 10.8M (Zh-En). The same features are ... See full document
11
Minimum Error Rate Training in Statistical Machine Translation
... and try to find a better scoring point in the param- eter space by making a one-dimensional line min- imization along the directions given by optimizing one parameter while keeping all other parameters fixed. To avoid ... See full document
8
Joint Feature Selection in Distributed Stochastic Learning for Large Scale Discriminative Training in SMT
... trained translation models and language models by explicitly down-weighting translations that exhibit certain undesired ...to training on small tuning sets of a few thousand ...from machine learning ... See full document
11
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...or training a end-to-end neural ... See full document
7
Fast and Adaptive Online Training of Feature Rich Translation Models
... scalable online method for tuning statistical machine trans- lation models with large feature ...pected translation quality gains in large ...epochs. Large-scale ... See full document
11
Training a Statistical Machine Translation System without GIZA++
... the translation quality for the German- English Verbmobil task when using this WFST ...for large corpora, alignment with these constraints is not feasible due to the computational ... See full document
6
A Systematic Comparison of Training Criteria for Statistical Machine Translation
... The maximum likelihood (MLE) criteria perform somewhat worse under MAP decoding. Interest- ingly, the MBR decoding can compensate this to a large extent: all criteria achieve a Bleu score of about 18.9% on the ... See full document
9
Online Learning for Interactive Statistical Machine Translation
... State-of-the-art Machine Translation (MT) systems are still far from being ...Interactive Machine Translation (IMT) ...the training of the IMT system and the interactive ... See full document
9
Training Data in Statistical Machine Translation - the More, the Better?
... on training and test data and on all processing ...where translation domain changes dynamically and a large number of language pairs is involved, a framework criteria for the training and test ... See full document
6
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that translates ... See full document
8
Post Editing System For Statistical Machine Translation
... The Statistical Machine Translation System starts with the collection of training ...A training corpus is a large text material written in some language that will take as input ... See full document
6
Towards Effective Use of Training Data in Statistical Machine Translation
... of large memory ma- chines 2 , we were now able to train language models on this ...these large language models dur- ing decoding is aided by more efficient storage and inference (Heafield, ... See full document
5
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... • BLEU score: This score measures the precision of unigrams, bigrams, trigrams and fourgrams with respect to a whole set of reference trans- lations with a penalty for too short sentences (Papineni et al., 2001). Unlike ... See full document
8
Transductive Minimum Error Rate Training for Statistical Machine Translation
... in Statistical Machine Transla- ...Rate Training(MERT), we extend it under a transductive learning framework, by iteratively re-estimating the parame- ters using both development and test da- ta, in ... See full document
8
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... the online translation service provided by ...reference translation) may be because our test data are not excluded from their training ... See full document
10
Towards Efficient Large Scale Feature Rich Statistical Machine Translation
... the training bitext. Since the bitext is used to learn rules for translation, using the same parallel sentences for grammar extrac- tion as well as for tuning feature weights can lead to severe overfitting ... See full document
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