[PDF] Top 20 A Joint Sequence Translation Model with Integrated Reordering
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A Joint Sequence Translation Model with Integrated Reordering
... new model performs a stack- based search with a beam-search algorithm similar to that used in Pharoah (Koehn, ...the sequence of operations required for the translation with this tuple in light of ... See full document
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A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences
... word-based translation models that are potentially capable of capturing long-range ...word reordering and trans- lation ...as joint translation and reordering (JTR) ...n-gram ... See full document
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Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... (ME) model algo- rithm to estimate their reordering probabilities sep- arately, where the boundary words of foreign phrases and candidate target translation phrases, POS information and dependencies ... See full document
8
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... flat reordering models, several re- searchers (Och et ...powerful model called lexicalized reorder- ing model that is phrase ...Lexicalized reordering model learns local orientations ... See full document
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Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models
... The first of the two lexicon models is denoted as discriminative word lexicon (DWL) and acts as a statistical classifier that decides whether a word from the target vocabulary should be included in a translation ... See full document
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The RWTH Aachen University English German and German English Machine Translation System for WMT 2017
... phrasal Joint Translation and Reordering (JTR) decoder is based on the implementation of the source cardinality synchronous search (SCSS) procedure described in (Zens and Ney, ...JTR model ... See full document
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A Lexicalized Reordering Model for Hierarchical Phrase based Translation
... Another problem with path-based model is: there are many forms of HPB rules which we cannot map into a reasonable sequence of phrase pairs and non-terminals. We will show this with an example derivation ... See full document
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Reordering Model for Forest to String Machine Translation
... tional reordering models scoring permutations of the source words. Reordering model can be either used for source pre-ordering (Tromble and Eisner, ), integrated into decoding via ... See full document
6
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
... of joint multimodal representations using se- quence to sequence (Seq2Seq) methods: a Seq2Seq Modality Translation Model and a Hierarchical Seq2Seq Modality Transla- tion ...our model ... See full document
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A Neural Reordering Model for Phrase based Translation
... machine translation system and neu- ral classifier are trained separately, the neural network training only has an indirect effect on translation ...machine translation system and neural classifier ... See full document
11
Proceedings of the ACL 2010 Conference Short Papers
... 1 A Joint Rule Selection Model for Hierarchical Phrase-Based Translation Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou and Tiejun Zhao.. 6 Learning Lexicalized Reordering Models from Reorder[r] ... See full document
6
A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... Although word reorderings can involve words far apart, certain jump patterns are highly unlikely. For example, the coverage pattern ‘1010101010’ where every other source word is translated would be very improbable. Let ... See full document
9
Weblio Pre reordering Statistical Machine Translation System
... better translation results compared to baseline SMT ...the translation results still suffer from the defect of the reordering ...ing model described in Section 3 is actually a lan- guage ... See full document
6
Experiments with word alignment, normalization and clause reordering for SMT between English and German
... the translation output, we added an extra output factor in our translation models consisting of tags with POS and morphological ...two sequence models for each system over this output factor and ... See full document
6
Learning Linear Ordering Problems for Better Translation
... improve translation is a common ...English-French translation using syntactic rewrite rules derived from Slot Grammar ...German-English translation using six hand- written rules to reorder the German ... See full document
10
Sentence Type Based Reordering Model for Statistical Machine Translation
... the reordering models that are integrated into the decoder, the reordering at the source side can utilize more syntactic knowl- edge, with the goal of adjusting the source lan- guage sentence to make ... See full document
8
Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation
... a reordering model for BTG that uses bilingual in- formation including class-level features of POS and word ...our model is dedi- cated to boundary features and considers different combinations of ... See full document
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A Clustered Global Phrase Reordering Model for Statistical Machine Translation
... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...the ... See full document
8
Pre reordering Model of Chinese Special Sentences for Patent Machine Translation
... English translation, we firstly identify L0 words in two levels, and parse the sentence into chunks with core predicate and L0 ...our model performs better than the baseline system and Google Translate in ... See full document
8
Local Phrase Reordering Model for Chinese English Patent Machine Translation
... long-distance reordering better than phase-based ...(HSCT) model, which present a sentence as a hierarchical structure based on the Hierarchical Network of Concepts theory(HNC theory) and handle the ... See full document
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