[PDF] Top 20 Stacking for Statistical Machine Translation
Has 10000 "Stacking for Statistical Machine Translation" found on our website. Below are the top 20 most common "Stacking for Statistical Machine Translation".
Stacking for Statistical Machine Translation
... in machine learning with the aim of reduc- ing the instability of classifiers and regressors and/or increase their ...tical machine translation community in various work (Xiao et ... See full document
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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 ...based machine translation ... See full document
7
Meta level Statistical Machine Translation
... meta-level Statistical Machine Transla- tion (SMT), called meta-SMT, for system ...as Stacking, which is an ensemble learning algorithm, widely used in machine learning ...in ... See full document
7
RTM Stacking Results for Machine Translation Performance Prediction
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
5
Paraphrase Lattice for Statistical Machine Translation
... This paper has proposed a novel method for trans- forming a source sentence into a paraphrase lattice and applying lattice decoding. Since our method can employ source-side language models as a de- coding feature, the ... See full document
5
Statistical machine translation based on translation rules
... complete statistical machine translation system by integrating the advantages of string-tree model and hierarchical phrase ...of translation rules and the property of translation ...the ... See full document
8
Mixing Multiple Translation Models in Statistical Machine Translation
... 2007) and can treat multiple translation tables in two different ways: intersection and union. In in- tersection, for each span only the hypotheses would be used that are present in all phrase tables. For each set ... See full document
10
A Sense Based Translation Model for Statistical Machine Translation
... Topic model for SMT Generic topic models are also explored for SMT. Zhao and Xing (2007) propose a bilingual topic model and integrate a topic-specific lexicon translation model into SMT. Tam et al. (2007) also ... See full document
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A Statistical Approach to Machine Aided Translation of Terminology Banks
... A Statistical Approach to Machine Aided Translation of Terminology Banks A Statistical A p p r o a c h to Machine Aided Translation o f Terminology Banks Jyun Sheng Chang Department of Computer Scienc[.] ... See full document
5
Improving Pronoun Translation for Statistical Machine Translation
... Czech translation of the head of the English antecedent should be the same in the output of ...single-step translation systems such as that used by Hardmeier & Federico ... See full document
10
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
... the stacking of multiple recurrent, 1 convolu- tional, or self-attentional feed-forward layers in the encoders and decoders with each layer having its own ...such stacking leads to an improvement in ... See full document
8
Variational Decoding for Statistical Machine Translation
... Already at (14), we explicitly ruled out translations y having no derivation at all in the hypergraph. However, suppose the hypergraph were very large (thanks to a large or smoothed translation model and weak ... See full document
9
Stream based Translation Models for Statistical Machine Translation
... the translation models trained on material chronologically closer to the given test ...higher translation performance when using more up- to-date TMs that incorporate recent sentence ...in ... See full document
9
Statistical Machine Translation with Readability Constraints
... In Table 3 we show results for some of the possible feature combinations, using medium weights. As expected, the effect on the readability metrics is more balanced in these cases. For the system with all features there ... See full document
12
Lattice Desegmentation for Statistical Machine Translation
... Instead of producing an abstract feature layer, morphological segmentation transforms the tar- get sentence by segmenting relevant morphemes, which are then handled as regular tokens during alignment and ... See full document
11
A Semantic Feature for Statistical Machine Translation
... Some output sentences were randomly selected, regardless of which system performed better, for conducting a manual inspection. From these sen- tences, we have extracted some segments that illus- trate specific cases in ... See full document
9
Unsupervised Adaptation for Statistical Machine Translation
... target-to-source directions, smoothing with lexi- cal weights, a word and phrase penalty, distance- based reordering, hierarchical reordering model (Galley and Manning, 2008) and a 4-gram target language model. The ... See full document
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ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... We run ParFDA SMT experiments for all lan- guage pairs in both directions in the WMT15 translation task (Bojar et al., 2015), which include English-Czech (en-cs), English-German (en-de), English-Finnish (en-fi), ... See full document
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Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... The results show that linguistic and seman- tic analyses definitely improve the quality of the translation. Exploiting the linguistic processing on word level — L EMMA , POS and L ING — pro- duces the best result. ... See full document
10
On Statistical Machine Translation and Translation Theory
... both translation and evaluation. At translation time, domain adaptation techniques increase the likelihood of correct translations on average, but they do not provide the MT system with any inform- ation to ... See full document
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