[PDF] Top 20 A Word Reordering Model for Improved Machine Translation
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A Word Reordering Model for Improved Machine Translation
... a reordering model to reorder source language data to make it resemble the target language word order without using either a source or target ...in machine transla- tion performance using this ... See full document
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Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation
... However, current BTG-based reordering meth- ods have been limited by the features used. Infor- mation might not be sufficient or representative, if only the first (or tail) words are used as features. For example, ... See full document
9
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 its ... See full document
8
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
Improved Word Level System Combination for Machine Translation
... in machine translation system ...an improved confusion net- work based method to combine outputs from multiple MT ...language model expansion and ... See full document
8
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... Pre-ordering methods can be divided into two types: (1) Rule-based preprocessing methods (Collins et al., 2005; Isozaki et al., 2010b) parse source sentences and reorder the words using hand-crafted rules. (2) ... See full document
10
Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation
... the translation direction English to German, the word reordering can be restricted in a similar way as for the translation direction German to ...the word order difference between the ... See full document
37
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... the reordering framework described above, we could try to directly predict the ex- ecutions as Miceli Barone and Attardi (2013) attempted with their version of the frame- ... See full document
11
Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation
... language word order, the following two reordering movements need to be performed: the finite verb habe needs to be placed before the VP constituent and the participle bekom- men needs to be moved within the ... See full document
9
Neural Machine Translation with Reordering Embeddings
... the machine translation ...predict translation, and has delivered state-of-the-art performance on various translation tasks (Bojar et ...consider reordering information in a sentence, ... See full document
13
Local Phrase Reordering Model for Chinese English Patent Machine Translation
... of translation units and sum boundary words for recognizing them, then analyzed differences in the orders of complicated Chinese-English NPs and summed a strategy on how to reorder the translation units ... See full document
9
Pre reordering Model of Chinese Special Sentences for Patent Machine Translation
... bad translation performance for rule-based ...of word selection in RB-MT needs to be improved ...pre-reordering model is strongly dependent on the completeness of rules and the accuracy ... See full document
8
Training a Parser for Machine Translation Reordering
... different word order is to handle reordering and translation separately: first reorder source-language sentences into target- language word order in a preprocessing step, and then translate ... See full document
10
Generalizing Local and Non Local Word Reordering Patterns for Syntax Based Machine Translation
... first word-aligned using a MaxEnt aligner (Ittycheriah and Roukos, ...the word alignments (from both hand alignments and auto- matically aligned GALE corpora) based on the pro- jection principle (Tillmann, ... See full document
10
Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation
... Finally, we can see from the last row of Ta- ble 1 that the gap between PSMT and HSMT has been narrowed significantly. While more work is needed to reach and outperform the quality of the HSMT system, we were able to ... See full document
12
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... Yaser Al-Onaizan and Kishore Papineni. 2006. Dis- tortion models for statistical machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual ... See full document
11
A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation
... of word movement, phrasal level reordering mod- els model how to move phrases, also called orien- ...orientation model that captures some non-local phrase reorderings by a shift reduce ... See full document
9
A Ranking based Approach to Word Reordering for Statistical Machine Translation
... the word order in target ...to word reordering. The ranking model is automatically derived from the word aligned parallel data, viewing the source tree nodes to be reordered as list ... See full document
9
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
Shift Reduce Word Reordering for Machine Translation
... The main results in Table 3 indicate our method was significantly better and faster than the conventional PBMT system. Our method also ourperformed Goto et al. (2012)’s reported systems as well as a tree- based ... See full document
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