Workshop on Syntax, Semantics and Structure in Statistical Translation (2011)


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Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation

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Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Dekai Wu | Marianna Apidianaki | Marine Carpuat | Lucia Specia

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Automatic Projection of Semantic Structures: an Application to Pairwise Translation Ranking
Daniele Pighin | Lluís Màrquez

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Structured vs. Flat Semantic Role Representations for Machine Translation Evaluation
Chi-kiu Lo | Dekai Wu

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Semantic Mapping Using Automatic Word Alignment and Semantic Role Labeling
Shumin Wu | Martha Palmer

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Incorporating Source-Language Paraphrases into Phrase-Based SMT with Confusion Networks
Jie Jiang | Jinhua Du | Andy Way

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Multi-Word Unit Dependency Forest-based Translation Rule Extraction
Hwidong Na | Jong-Hyeok Lee

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An Evaluation and Possible Improvement Path for Current SMT Behavior on Ambiguous Nouns
Els Lefever | Véronique Hoste

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Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features
Bing Xiang | Niyu Ge | Abraham Ittycheriah

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Reestimation of Reified Rules in Semiring Parsing and Biparsing
Markus Saers | Dekai Wu

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A Dependency Based Statistical Translation Model
Giuseppe Attardi | Atanas Chanev | Antonio Valerio Miceli Barone

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Improving MT Word Alignment Using Aligned Multi-Stage Parses
Adam Meyers | Michiko Kosaka | Shasha Liao | Nianwen Xue

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Automatic Category Label Coarsening for Syntax-Based Machine Translation
Greg Hanneman | Alon Lavie

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Utilizing Target-Side Semantic Role Labels to Assist Hierarchical Phrase-based Machine Translation
Qin Gao | Stephan Vogel

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Combining statistical and semantic approaches to the translation of ontologies and taxonomies
John McCrae | Mauricio Espinoza | Elena Montiel-Ponsoda | Guadalupe Aguado-de-Cea | Philipp Cimiano

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A Semantic Feature for Statistical Machine Translation
Rafael E. Banchs | Marta R. Costa-jussà

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A General-Purpose Rule Extractor for SCFG-Based Machine Translation
Greg Hanneman | Michelle Burroughs | Alon Lavie