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statistical machine translation model

Linguistically Augmented Bulgarian to English Statistical Machine Translation Model

Linguistically Augmented Bulgarian to English Statistical Machine Translation Model

... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- ...

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A Discriminative Latent Variable Model for Statistical Machine Translation

A Discriminative Latent Variable Model for Statistical Machine Translation

... Past work on discriminative SMT only address some of these problems. To our knowledge no sys- tems directly address Problem 1, instead choosing to ignore the problem by using one or a small handful of reference ...

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A Hierarchical Phrase Based Model for Statistical Machine Translation

A Hierarchical Phrase Based Model for Statistical Machine Translation

... Phrase-based models can robustly perform trans- lations that are localized to substrings that are com- mon enough to have been observed in training. But Koehn et al. (2003) find that phrases longer than three words ...

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A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... reordering model that explicitly models long distance re- ordering 1 ...reordering model are estimated from the phrase alignments of training bilingual ...

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Language and Translation Model Adaptation using Comparable Corpora

Language and Translation Model Adaptation using Comparable Corpora

... Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation ...language model in the target ...a statistical ...

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Distortion Model Considering Rich Context for Statistical Machine Translation

Distortion Model Considering Rich Context for Statistical Machine Translation

... distortion model is to esti- mate the source phrase position to be translated next whose target side phrase will be located im- mediately to the right of the already generated hy- ...distortion model should ...

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On line Language Model Biasing for Statistical Machine Translation

On line Language Model Biasing for Statistical Machine Translation

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondˇrej Bojar, Alexandra Con- stantin, and Evan ...

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Vector Space Model for Adaptation in Statistical Machine Translation

Vector Space Model for Adaptation in Statistical Machine Translation

... mixture model adaptation, does VSM improve performance? In (Foster and Kuhn, 2007), two kinds of linear mixture were de- scribed: linear mixture of language models (LMs), and linear mixture of translation ...

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A Context Aware Topic Model for Statistical Machine Translation

A Context Aware Topic Model for Statistical Machine Translation

... for statistical ma- chine ...topic model for lexical selec- tion, which not only models local contexts and global topics but also captures their correla- ...The model uses target-side translations as ...

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Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model

Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model

... the translation prob- lem defined by Brown et ...this model it is al- most impossible to search for optimal solutions in the decoding ...the statistical model in systems can improve the search ...

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A Dependency Edge based Transfer Model for Statistical Machine Translation

A Dependency Edge based Transfer Model for Statistical Machine Translation

... syntax-based statistical machine translation usually resort to some kinds of synchronous procedures, few of these works are based on the analysis-transfer-generation ...a statistical ...

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Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... reordering model for BTG-based statisti- cal machine translation ...The model focuses on linguistic features from bilingual ...reordering model. With the model, we performed ...

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A Phrase Based,Joint Probability Model for Statistical Machine Translation

A Phrase Based,Joint Probability Model for Statistical Machine Translation

... a translation model that assumes that lexical correspondences can be estab- lished not only at the word level, but at the phrase level as ...our model does not try to capture how Source sentences can ...

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A Tree to String Phrase based Model for Statistical Machine Translation

A Tree to String Phrase based Model for Statistical Machine Translation

... our syntax-directed (SD) SMT system with chunking and full parsing respectively. On both Conversation corpus and Reuters corpus: The BLEU score of our phrase-based SMT system is comparable to that of Pharaoh; The BLEU ...

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Sentence Type Based Reordering Model for Statistical Machine Translation

Sentence Type Based Reordering Model for Statistical Machine Translation

... entropy model is developed to determine how probable the children of a node are to be ...Chinese-to-English translation, including verb phrases (VPs), noun phrases (NPs), and localizer phrases ...

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Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation

... SMT model try to identify infrequent entries (Zollmann et ...the translation perfor- mance due to their side effect of algorithms; simi- lar multiple entries can be pruned at the same time deteriorating ...

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A Topic Triggered Language Model for Statistical Machine Translation

A Topic Triggered Language Model for Statistical Machine Translation

... 2011), translation model (Xiao et ...particular translation of- ten appears in some specific topical context, so it is reasonable to enhance the prediction ability of language model by ...

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Improving Statistical MT through Morphological Analysis

Improving Statistical MT through Morphological Analysis

... for statistical machine translation is described by Lee ...Arabic-English translation takes as input POS-tagged English and Arabic text, where the Arabic words have been pre-segmented into ...

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A Localized Prediction Model for Statistical Machine Translation

A Localized Prediction Model for Statistical Machine Translation

... For future work, our training technique may be used to train models that handle global sentence-level reorder- ings. This might be achieved by introducing orienta- tion sequences over phrase types that have been used in ...

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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

... chine translation (NMT) models are applied in this task and further tuned by pseudo-parallel data generated from a phrase-based statistical machine translation (PBSMT) model, which is ...

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