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Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information
Sonja Nießen
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Hermann Ney
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Paper Details:
Year: 2004
Venue:
CL |
Citations
URL
Chinese Syntactic Reordering for Statistical Machine Translation
Chao Wang
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Michael Collins
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Philipp Koehn
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Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Bing Zhao
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Yaser Al-onaizan
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Improving Statistical MT through Morphological Analysis
Sharon Goldwater
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David McClosky
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Empirical Study of Utilizing Morph-Syntactic Information in SMT
Young-Sook Hwang
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Taro Watanabe
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Yutaka Sasaki
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Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation
Ananthakrishnan Ramanathan
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Jayprasad Hegde
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Ritesh M. Shah
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Pushpak Bhattacharyya
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Sasikumar M.
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Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Marta R. Costa-jussà
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José A. R. Fonollosa
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Enric Monte
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Translation-oriented Word Sense Induction Based on Parallel Corpora
Marianna Apidianaki
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Improved Statistical Machine Translation Using Paraphrases
Chris Callison-Burch
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Philipp Koehn
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Miles Osborne
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Arabic Preprocessing Schemes for Statistical Machine Translation
Nizar Habash
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Fatiha Sadat
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Bridging the Inflection Morphology Gap for Arabic Statistical Machine Translation
Andreas Zollmann
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Ashish Venugopal
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Stephan Vogel
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A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation
Masao Utiyama
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Hitoshi Isahara
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Minimum Bayes Risk Combination of Translation Hypotheses from Alternative Morphological Decompositions
Adrià de Gispert
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Sami Virpioja
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Mikko Kurimo
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William Byrne
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Clause Restructuring for Statistical Machine Translation
Michael Collins
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Philipp Koehn
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Ivona Kučerová
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Phrase Linguistic Classification and Generalization for Improving Statistical Machine Translation
Adrià de Gispert
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Combination of Arabic Preprocessing Schemes for Statistical Machine Translation
Fatiha Sadat
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Nizar Habash
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Modelling Lexical Redundancy for Machine Translation
David Talbot
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Miles Osborne
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Generating Complex Morphology for Machine Translation
Einat Minkov
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Kristina Toutanova
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Hisami Suzuki
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Pivot Language Approach for Phrase-Based Statistical Machine Translation
Hua Wu
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Haifeng Wang
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Applying Morphology Generation Models to Machine Translation
Kristina Toutanova
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Hisami Suzuki
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Achim Ruopp
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Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT
Ananthakrishnan Ramanathan
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Hansraj Choudhary
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Avishek Ghosh
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Pushpak Bhattacharyya
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Syntax-to-Morphology Mapping in Factored Phrase-Based Statistical Machine Translation from English to Turkish
Reyyan Yeniterzi
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Kemal Oflazer
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Crowdsourcing Translation: Professional Quality from Non-Professionals
Omar F. Zaidan
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Chris Callison-Burch
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Augmenting a Small Parallel Text with Morpho-Syntactic Language
Maja Popović
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David Vilar
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Hermann Ney
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Slobodan Jovičić
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Zoran Šarić
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Automatic Acquisition of Bilingual Rules for Extraction of Bilingual Word Pairs from Parallel Corpora
Hiroshi Echizen-ya
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Kenji Araki
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Yoshio Momouchi
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Initial Explorations in English to Turkish Statistical Machine Translation
İlknur Durgar El-Kahlout
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Kemal Oflazer
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Exploring Different Representational Units in English-to-Turkish Statistical Machine Translation
Kemal Oflazer
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İlknur Durgar El-Kahlout
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Meta-Structure Transformation Model for Statistical Machine Translation
Jiadong Sun
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Tiejun Zhao
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Huashen Liang
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Getting to Know Moses: Initial Experiments on German-English Factored Translation
Maria Holmqvist
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Sara Stymne
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Lars Ahrenberg
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Context-based Arabic Morphological Analysis for Machine Translation
ThuyLinh Nguyen
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Stephan Vogel
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Experiments in Morphosyntactic Processing for Translating to and from German
Alexander Fraser
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LIMSI’s Statistical Translation Systems for WMT’10
Alexandre Allauzen
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Josep M. Crego
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İlknur Durgar El-Kahlout
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François Yvon
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The LIG Machine Translation System for WMT 2010
Marion Potet
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Laurent Besacier
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Hervé Blanchon
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Manipuri-English Bidirectional Statistical Machine Translation Systems using Morphology and Dependency Relations
Thoudam Doren Singh
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Sivaji Bandyopadhyay
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Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation
John Ortega
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Krishnan Pillaipakkamnatt
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Field Of Study
Task
Machine Translation
Language
English
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