[PDF] Top 20 A Path based Transfer Model for Machine Translation
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A Path based Transfer Model for Machine Translation
... In Step 3 of our algorithm, we need to merge the tree fragments obtained from a set of transfer rules into a single dependency tree. For example, the mergers of target tree fragments in Fig. 4(b-d) result in the ... See full document
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Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation
... frequency- based cutoff method, which is one of the most widely used filtering ...the model size, ...the translation per- formance is highly co-related with the ... See full document
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Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... Reordering model is important for the sta- tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This ... See full document
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Example based Machine Translation Based on Syntactic Transfer with Statistical Models
... and translation) are obtained from child ...the translation probabil- ity is calculated, the source word sub-sequence is obtained by tracing transfer mapping, and the ap- plied translation ... See full document
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Large Scale Transfer Learning for Natural Language Generation
... of transfer learning methods which have significantly improved the state of the art (Dai and Le, 2015; Peters et ...vised machine learning where a predictive model for a given task is trained in ... See full document
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Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... generative model for transferring S into Q, our goal is to calculate the ranking score function over existing Q and ...this model can not be used directly for sen- tence ranking because Q and S are often of ... See full document
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... space based on a bilingual dictionary of a negligibly small ...language model pre- training can learn a better cross-lingual embed- dings to initialize an unsupervised machine trans- lation ... See full document
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A Hierarchical Phrase Based Model for Statistical Machine Translation
... because it creates spurious ambiguity—a situation where the decoder produces many derivations that are distinct yet have the same model feature vectors and give the same translation. This can result in n- ... See full document
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Translation Rules and ANN based model for English to Urdu Machine Translation
... We have implemented our English-Urdu machine trans- lation system on java platform. We used java jdk1.5 version for its compatibility with Matlab 7.1. System is implemented in java except from the neural network ... See full document
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Integrating Translation Memory into Phrase Based Machine Translation during Decoding
... Language Model toolkit (Stolcke, 2002) to train a 5-gram model with modified Kneser-Ney smoothing (Kneser and Ney, 1995; Chen and Goodman, 1998) on the target-side (English) training ...for ... See full document
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A Model of Competence for Corpus Based Machine Translation
... lation. Translation templates are generalized from aligned sentences by substituting dierences in sen- tence pairs with variables and leaving the identical substrings ...generates translation examples and ... See full document
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A Neural Attention Model for Abstractive Sentence Summarization
... neural machine translation, we combine a neural language model with a con- textual input ...generation model are trained jointly on the sentence summarization task. The model is de- ... See full document
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A Rule based Shallow transfer Machine Translation System for Scots and English
... on translation for as- similation rather than dissemination, it is interesting to see how far away the system is from producing publication- ready ...text, translation, and a reference translation, ... See full document
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Machine Translation by Interaction between Paraphraser and Transfer
... our model has an advantage in language portability; it is easy to construct an MT for a new language, since our model depends only on source lan- guage and thus can reduce dependence on bilin- gual ... See full document
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Urdu to English Machine Translation using Bilingual Evaluation Understudy
... of translation into three ...corresponding translation fragments and 3) Re-combination that generates the target text in surface form of the target ...a transfer translation of new ...metric ... See full document
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Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC model generally aims to robustly correct grammatical errors in any writ- ten text partly because the task difficulty varies depending on proficiency levels and essay top- ...a model outperforms a ... See full document
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A Sense Based Translation Model for Statistical Machine Translation
... the translation of the word. In this paper, we propose a sense-based transla- tion model to integrate word senses into statistical machine ...tagger based on a nonparametric Bayesian ... See full document
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A Dependency Edge based Transfer Model for Statistical Machine Translation
... directly model the structural correspondence between two ...rule-based translation solves the machine translation problem in a more divided scheme, where the processing procedures of ... See full document
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Design and Implementation of Consecutive Interpreting System Based on Transformer NMT Model
... a machine translation system does have an advantage over a human ...the translation of a single sentence though its accuracy is not good ...traditional machine translation systems ... See full document
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Chart Based Transfer Rule Application in Machine Translation
... genpaper2 dvi Chart Based Transfer Rule Application in Machine Translation Adam Meyers New York University meyers@cs nyu edu Michiko Kosaka Monmouth University kosaka@monmouth edu Ralph Grishman New Y[.] ... See full document
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