Statistical Machine Translation
MACHINE TRANSLATION. I.1 Introduction to Statistical Machine Translation
... • Pr(y | x) should be low for pairs (y, x) such as: ( una habitaci´on con vistas al mar , are all expenses included in the bill ? ) • Pr(y | x) should be high for pairs such as: ( ¿ hay alguna habitaci´on tranquila libre ...
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Stacking for Statistical Machine Translation
... to statistical machine translation (SMT) and our method is the first to successfully exploit stacking for statistical machine ...standard statistical machine ...
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The Geometry of Statistical Machine Translation
... Abstract Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate ...
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Paraphrases for Statistical Machine Translation
... Motivation Statistical Machine Translation (SMT) is the task of translating between two languages by exploit- ing bilingual parallel corpora using data-driven machine learning ...stochastic ...
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Reordering in statistical machine translation
... A similar technique is used in [ Badr et al. , 2009 ] to reorder the source side in an English to Arabic statistical machine translation system. The difficulty of this work is that it is in the ...
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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 ...
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A Sense Based Translation Model for Statistical Machine Translation
... the translation of the ...into statistical machine ...sense-based translation model en- ables the decoder to select appropriate translations for source words according to the inferred senses ...
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Mixing Multiple Translation Models in Statistical Machine Translation
... Abstract Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single trans- lation model which then has to translate sen- tences ...
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Stream based Translation Models for Statistical Machine Translation
... Statistical Machine Translation (SMT) systems are typically batch trained, often taking many CPU- days of computation when using large volumes of training ...
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Pushdown Automata in Statistical Machine Translation
... of statistical machine translation and alignment under a synchronous context-free ...and translation task. In translation, we propose a two-pass decoding strategy involving a weaker ...
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String to Dependency Statistical Machine Translation
... Raytheon BBN Technologies Ralph Weischedel † Raytheon BBN Technologies We propose a novel string-to-dependency algorithm for statistical machine translation. This algorithm employs a target ...
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Online Learning for Statistical Machine Translation
... Machine Translation Daniel Ortiz-Mart´ınez ∗ Universitat Polit`ecnica de Val`encia 1 We present online learning techniques for statistical machine translation ...of translation ...
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Treatment of Markup in Statistical Machine Translation
... Abstract We present work on handling XML markup in Statistical Machine Translation (SMT). The methods we propose can be used to effectively preserve markup (for instance inline formatting or ...
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Computational Complexity of Statistical Machine Translation
... University of Illinois at Urbana-Champaigne [email protected] Abstract In this paper we study a set of prob- lems that are of considerable importance to Statistical Machine Translation (SMT) but ...
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Phrasetable Smoothing for Statistical Machine Translation
... in statistical NLP, used to deal with perennial data sparseness and empirical distributions that overfit the training ...in statistical Machine ...
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Phrasal Cohesion and Statistical Machine Translation
... Brown University, Box 1910, Providence, RI 02912 [email protected] Abstract There has been much interest in us- ing phrasal movement to improve statis- tical machine translation. We explore how well phrases ...
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Meta level Statistical Machine Translation
... research Machine Translation (MT) systems, which are developed under different paradigms such as rule-based, example based, statistical machine translation, trained using different ...
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Proceedings on the Workshop on Statistical Machine Translation
... on Statistical Machine Translation (WMT-06) took place on Thursday, June 8 and Friday, June 9 in New York City, immediately following the Human Language Technology Conference — North American Chapter ...
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Word Graphs for Statistical Machine Translation
... In Figure 4, we show the graph BLEU scores for the IWSLT task. We observe that, similar to the GPER, the GBLEU score increases significantly al- ready for small word graph densities. We attribute this to the fact that ...
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Statistical Machine Translation
... Phrase Translation Probabilities he >> egli ; does >> fa ; not >> non ; like >> piacere he does >> lo fa ; does not >> non ; not like >> non come he does not >> egli ...
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