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word reordering

Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation

Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation

... the word reordering can be restricted in a similar way as for the translation direction German to ...the word order difference between the two languages is mainly due to the German verb ...

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Word reordering for Statistical Machine Translation Using Trigram Language Model

Word reordering for Statistical Machine Translation Using Trigram Language Model

... the word-reordering problem in the decoding part of statisti- cal machine translation, but independently from the target language generating pro- ...Our word-reordering algorithm can be used ...

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Generalizing Local and Non Local Word Reordering Patterns for Syntax Based Machine Translation

Generalizing Local and Non Local Word Reordering Patterns for Syntax Based Machine Translation

... were disambiguated with additional binary feature functions, with their weights optimized in standard MER training. The combinatorial effects of the added feature functions can make the feature se- lection and ...

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Japanese Word Reordering Executed Concurrently with Dependency Parsing and Its Evaluation

Japanese Word Reordering Executed Concurrently with Dependency Parsing and Its Evaluation

... performing word reorder- ing and dependency parsing and confirmed the ef- fectiveness of their proposed method using evalu- ation data created by randomly changing the word order in newspaper article ...

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Japanese Word Reordering Integrated with Dependency Parsing

Japanese Word Reordering Integrated with Dependency Parsing

... for reordering words in a Japanese sentence so that the sentence becomes easier to read (Uchimoto et ...appropriate word order in various languages (Filippova and Strube, 2007; Harbusch et ...that ...

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Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation

Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation

... capture word reordering knowledge through estimating the probability distribu- tion of relative jump distances on source words to incorporate word reordering knowledge into the attention-based ...

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Partially modelling word reordering as a sequence labelling problem

Partially modelling word reordering as a sequence labelling problem

... learn word reorderings on the source side in a language independent ...the word reordering as a Travelling salesperson problem whereas Tromble and Eisner (2009) model it as a linear ordering ...a ...

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A Ranking based Approach to Word Reordering for Statistical Machine Translation

A Ranking based Approach to Word Reordering for Statistical Machine Translation

... the word order in target ...word reordering. The ranking model is automatically derived from the word aligned parallel data, viewing the source tree nodes to be reordered as list items to be ...

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Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation

Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation

... the word reordering problem as a preprocessing ...learn reordering rules for English-French translation from source and target language dependency ...craft reordering rules manually based on ...

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Shift Reduce Word Reordering for Machine Translation

Shift Reduce Word Reordering for Machine Translation

... This paper presents a novel word reordering model that employs a shift-reduce parser for inversion transduction grammars. Our model uses rich syntax parsing features for word re- ordering and runs in ...

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Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

... (lexicalized reordering) mod- els (Tillmann, 2004; Koehn et ...medium-range reordering and are prob- ably the most widely used in PSMT ...of reordering steps makes them unsuitable to capture ...

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A Word Reordering Model for Improved Machine Translation

A Word Reordering Model for Improved Machine Translation

... There have been several studies demonstrating im- proved machine translation performance by reorder- ing source side sentences based on rules applied to the source side parse during training and decoding. Much of this ...

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Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

... medium-range reordering patterns that can be captured by local ...hierarchical reordering pat- ...global reordering, HSMT can underperform PSMT, likely because of the much larger search space ...the ...

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Discriminative Word Alignment with a Function Word Reordering Model

Discriminative Word Alignment with a Function Word Reordering Model

... stronger reordering models more challenging in alignment than in translation? One answer can be attributed to the fact that align- ment points are unobserved in parallel text, thus so are their ...stronger ...

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Distortion Models for Statistical Machine Translation

Distortion Models for Statistical Machine Translation

... Monotone decoding translates words in the same or- der they appear in the source language. Hence, the input and output sentences have the same word order. Monotone decoding is very efficient since the optimal ...

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A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... direct word reordering model with novel syntax-based features for sta- tistical machine ...translation. Reordering models address the problem of reordering source lan- guage into the ...

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FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk Based Reordering

FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk Based Reordering

... The Human Language Technologies group at Fon- dazione Bruno Kessler (FBK) participated in the WMT 2010 Machine Translation (MT) evaluation with systems for English-German and German- English translation. While the ...

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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

... out word reordering in the preprocessing phase but not decoding ...syntactic reordering models based on PCFGs can be learned from source-parsed bitext and then applied in the preprocessing ...by ...

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A Study of Word-Classing for MT Reordering

A Study of Word-Classing for MT Reordering

... on word-reordering (Visweswariah et ...of reordering without parsing. We cast reordering as a Travelling Sales- man Problem (TSP) (Tillmann and Ney, 2003; Zaslavskiy et ...one word to ...

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Word Order Does NOT Differ Significantly Between Chinese and Japanese

Word Order Does NOT Differ Significantly Between Chinese and Japanese

... We propose a rule-based pre-reordering approach for Japanese-to-Chinese SMT, using the depen- dency parsing of source-side Japanese sentences. The approach can bring a mediocre improvement in automatic and human ...

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