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Word reordering in statistical machine translation

Word reordering in statistical machine translation

Word Reordering in Statistical Machine Translation with a ...

Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model Kay Rottmann (UKA), Stephan Vogel (CMU) September 7, 2007 Kay Rottmann (UKA), Stephan Vogel (CMU) Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model. Outline Motivation The Model Experiments

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POS-based Word Reorderings for Statistical Machine Translation

In this work we investigate new possibilities for improving the quality of statistical machine translation (SMT) by applying word reorder-ings of the source language sentences based on Part-of-Speech tags. Results are presented on the European Parliament corpus containing about 700k sentences and 15M running words.

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Reordering in Statistical Machine Translation

Abstract Machine translation is a challenging task that its difficulties arise from several char-acteristics of natural language. The main focus of this work is on reordering as one of

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Syntax-based reordering for statistical machine translation

word ordering for statistical machine translation (SMT). We propose to alleviate the word order challenge including morpho-syntactical and statistical information in the context of a pre-translation reordering framework aimed at capturing short- and long-distance word distortion dependencies.

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Surveys: A Survey of Word Reordering in Statistical ...

Jun 02, 2016  S urveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena Arianna Bisazza , Marcello Federico Anthology ID:

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Word Reordering and a Dynamic Programming Beam Search ...

Christoph Tillmann, Hermann Ney. Computational Linguistics, Volume 29, Number 1, March 2003. 2003.

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Chinese Syntactic Reordering for Statistical Machine ...

Syntactic reordering approaches are an ef-fective method for handling word-order dif-ferences between source and target lan-guages in statistical machine translation (SMT) systems. This paper introduces a re-ordering approach for translation from Chi-nese to English. We describe a set of syntac-tic reordering rules that exploit systematic

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Word Reordering Approaches for Bangla-English Statistical ...

May 31, 2010  10%  We apply several word reordering techniques to a Bangla-English Statistical Machine Translation (SMT) system. We evaluate the approaches through their impact on the BLEU score for the phrase-based Bangla-English SMT system. According to the experimental results, automatic reordering rules have the most significant impact on the BLEU score.

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Reordering metrics for statistical machine translation

Current machine translation metrics are largely focused on evaluating the words used in translations, and their ability to measure the quality of word order has not been demonstrated. In this thesis we introduce novel metrics for quantitatively evaluating reordering.

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Word Reordering in Statistical Machine Translation with a ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we describe a word reordering strategy for statistical machine translation that reorders the source side based on Part of Speech (POS) information. Reordering rules are learned from the word aligned corpus. Reordering is integrated into the decoding process by constructing a lattice, which contains all ...

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Syntax-based reordering for statistical machine translation

word ordering for statistical machine translation (SMT). We propose to alleviate the word order challenge including morpho-syntactical and statistical information in the context of a pre-translation reordering framework aimed at capturing short- and long-distance word distortion dependencies.

get price

Surveys: A Survey of Word Reordering in Statistical ...

Jun 02, 2016  S urveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena Arianna Bisazza , Marcello Federico Anthology ID:

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N-BEST REORDERING IN STATISTICAL MACHINE TRANSLATION

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): As statistical machine translation (SMT) systems strive to improve the translation quality they are able to deliver, the word reordering problem is being unveiled as a major problem that must be addressed, whenever these systems are to be improved. While most works published focus their results in corpora involving ...

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State-of-the-Art Word Reordering Approaches in Statistical ...

This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is

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Exploiting Morphology and Local Word Reordering in English ...

Sep 29, 2009  Exploiting Morphology and Local Word Reordering in English-to-Turkish Phrase-Based Statistical Machine Translation Abstract: In this paper, we present the results of our work on the development of a phrase-based statistical machine translation prototype from English to Turkish-an agglutinative language with very productive inflectional and ...

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Divide and Translate: Improving Long Distance Reordering ...

Proceedings of the Joint 5th Workshop on Statistical Machine Translation and MetricsMATR, pages 418–427, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Tsutomu Hirao ...

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Efficient Solutions for Word Reordering in German-English ...

art statistical machine translation (SMT) methods. A major factor of difÞculty is given by word or-der differences that yield important long-range re-ordering phenomena. Thanks to speciÞc reordering modeling compo-nents, phrase-based SMT (PSMT) systems (Zens et al., 2002; Koehn et al., 2003; Och and Ney, 2002) are generally good at handling ...

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(PDF) Investigating the Relationship between ...

Keywords: statistical machine translation; reordering model; classification; performance; correlation; intrinsic evaluation 1. Introduction Statistical Machine Translation (SMT) systems automatically translate from one natural language into another. Clearly, natural languages vary in their vocabularies and also in their grammatical structure, i ...

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Coupling hierarchical word reordering and decoding in ...

Classically, statistical machine translation (SMT) systems do not incorporate any linguistic analysis and work at the surface level of word forms. How-ever, more recently MT systems are moving towards including additional linguistic and syntactic infor-mative sources (for example, source- and/or target-side syntax) into word reordering process.

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Reordering metrics for statistical machine translation

Current machine translation metrics are largely focused on evaluating the words used in translations, and their ability to measure the quality of word order has not been demonstrated. In this thesis we introduce novel metrics for quantitatively evaluating reordering.

get price

State-of-the-Art Word Reordering Approaches in Statistical ...

This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is only modeled within the limits of translation units. Relying only in the reordering provided by translation units may not be good enough in most ...

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Chinese Syntactic Reordering for Statistical Machine ...

Syntactic reordering approaches are an ef-fective method for handling word-order dif-ferences between source and target lan-guages in statistical machine translation (SMT) systems. This paper introduces a re-ordering approach for translation from Chi-nese to English. We describe a set of syntac-tic reordering rules that exploit systematic

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Improved Arabic-to-English statistical machine translation ...

Oct 30, 2011  Vogel S, Ney H, Tillman C (1996) HMM-based word alignment in statistical machine translation. In: Proceedings of the 16th international conference on computational linguistics, Copenhagen, Denmark, pp 836–841. Wang C, Collins M, Koehn P (2007) Chinese syntactic reordering for statistical machine translation.

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Word Reordering in Statistical Machine Translation with a ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we describe a word reordering strategy for statistical machine translation that reorders the source side based on Part of Speech (POS) information. Reordering rules are learned from the word aligned corpus. Reordering is integrated into the decoding process by constructing a lattice, which contains all ...

get price

Word Reordering in Statistical Machine Translation with a ...

Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model Kay Rottmann (UKA), Stephan Vogel (CMU) September 7, 2007 Kay Rottmann (UKA), Stephan Vogel (CMU) Word Reordering in Statistical Machine Translation with a POS-Based Distortion Model. Outline Motivation The Model Experiments

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Title: A Survey of Word Reordering in Statistical Machine ...

Feb 17, 2015  Abstract: Word reordering is one of the most difficult aspects of statistical machine translation (SMT), and an important factor of its quality and efficiency. Despite the vast amount of research published to date, the interest of the community in this problem has not decreased, and no single method appears to be strongly dominant across language pairs.

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A Ranking-based Approach to Word Reordering for ...

%0 Conference Proceedings %T A Ranking-based Approach to Word Reordering for Statistical Machine Translation %A Yang, Nan %A Li, Mu %A Zhang, Dongdong %A Yu, Nenghai %S Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) %D 2012 %8 jul %I Association for Computational Linguistics %C ...

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WORD REORDERING ALIGNMENT FOR COMBINATION OF STATISTICAL

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Word alignment is a basic and critical process in the Statistical Machine Translation (SMT). The previous work on word alignment mainly focuses on the training process to get the word mapping relation between the source sentences and target sentences. However, the word alignment for combination of SMT system

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Chinese Syntactic Reordering for Statistical Machine ...

Syntactic reordering approaches are an ef-fective method for handling word-order dif-ferences between source and target lan-guages in statistical machine translation (SMT) systems. This paper introduces a re-ordering approach for translation from Chi-nese to English. We describe a set of syntac-tic reordering rules that exploit systematic

get price

Coupling Hierarchical Word Reordering and Decoding in ...

Proceedings of SSST-3, Third Workshop on Syntax and Structure in Statistical Translation, pages 78–86, Boulder, Colorado, June 2009. c 2009 Association for Computational Linguistics Coupling hierarchical word reordering and decoding in phrase-based statistical machine translation Maxim Khalilov and José A.R. Fonollosa

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Syntactic Reordering of Source Sentences for Statistical ...

Phrase-based systems have limited potential to model word-order di erences between languages. The word order di erences between languages are considered as distortion. Each reordering rule adds distortion penalties to the overall score of the translation model. M. S. Rasooli (Columbia University) Syntactic Reordering for SMT April 9, 2013 4 / 27

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Efficient Solutions for Word Reordering in German-English ...

%0 Conference Proceedings %T Efficient Solutions for Word Reordering in German-English Phrase-Based Statistical Machine Translation %A Bisazza, Arianna %A Federico, Marcello %S Proceedings of the Eighth Workshop on Statistical Machine Translation %D 2013 %8 aug %I Association for Computational Linguistics %C Sofia, Bulgaria %F bisazza ...

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Clause Restructuring for Statistical Machine Translation

yond the original IBM machine translation models (Brown et al., 1993), by allowing multi-word units (“phrases”) in one language to be translated directly into phrases in another language. A number of em-pirical evaluations have suggested that phrase-based systems currently represent the state–of–the–art in statistical machine translation.

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Coupling Hierarchical Word Reordering and Decoding in ...

%0 Conference Proceedings %T Coupling Hierarchical Word Reordering and Decoding in Phrase-Based Statistical Machine Translation %A Khalilov, Maxim %A Fonollosa, José A.

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Efficient Solutions for Word Reordering in German-English ...

art statistical machine translation (SMT) methods. A major factor of difÞculty is given by word or-der differences that yield important long-range re-ordering phenomena. Thanks to speciÞc reordering modeling compo-nents, phrase-based SMT (PSMT) systems (Zens et al., 2002; Koehn et al., 2003; Och and Ney, 2002) are generally good at handling ...

get price

Reordering metrics for statistical machine translation

Current machine translation metrics are largely focused on evaluating the words used in translations, and their ability to measure the quality of word order has not been demonstrated. In this thesis we introduce novel metrics for quantitatively evaluating reordering.

get price

(PDF) Investigating the Relationship between ...

Keywords: statistical machine translation; reordering model; classification; performance; correlation; intrinsic evaluation 1. Introduction Statistical Machine Translation (SMT) systems automatically translate from one natural language into another. Clearly, natural languages vary in their vocabularies and also in their grammatical structure, i ...

get price